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https://github.com/pengtaojiang/awesome-weakly-supervised-semantic-segmentation-papers

Recent weakly supervised semantic segmentation paper
https://github.com/pengtaojiang/awesome-weakly-supervised-semantic-segmentation-papers
List: awesome-weakly-supervised-semantic-segmentation-papers
class-activation-mapping semantic-segmantation weakly-supervised-learning weakly-supervised-segmentation
Last synced: about 1 month ago
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Recent weakly supervised semantic segmentation paper
Host: GitHub
URL: https://github.com/pengtaojiang/awesome-weakly-supervised-semantic-segmentation-papers
Owner: PengtaoJiang
Created: 2021-06-13T08:24:47.000Z (over 3 years ago)
Default Branch: main
Last Pushed: 2024-09-08T14:06:56.000Z (3 months ago)
Last Synced: 2024-09-08T15:38:34.863Z (3 months ago)
Topics: class-activation-mapping, semantic-segmantation, weakly-supervised-learning, weakly-supervised-segmentation
Homepage: https://github.com/PengtaoJiang/Awesome-Weakly-Supervised-Semantic-Segmentation-Papers
Size: 236 KB
Stars: 247
Watchers: 11
Forks: 22
Open Issues: 0
Metadata Files:
- Readme: README.md
Awesome Lists containing this project

ultimate-awesome - awesome-weakly-supervised-semantic-segmentation-papers - Recent weakly supervised semantic segmentation paper. (Other Lists / Monkey C Lists)
README

        # Awesome-Weakly-Supervised-Semantic-Segmentation-Papers[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

*NOTE:*  If I miss some paper, plese feel free to contact me (pt.jiang at mail.nankai.edu.cn). Feel free to send me a PR!

## 2024

| Title | Abbreviation | Venue | Supervision | PDF | CODE |

| :-----|:-----:|:-----:|:---:|:---:|:----:|

| DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation | DALNet | ECCV | Image | [PDF](https://arxiv.org/pdf/2409.15801) | [CODE]() |

| Diffusion-Guided Weakly Supervised Semantic Segmentation | DiG | ECCV | Image | [PDF](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/06482.pdf) | [CODE](https://github.com/yoon307/DiG) |

| WeakCLIP: Adapting CLIP for Weakly-Supervised Semantic Segmentation | WeakCLIP | IJCV | Image | [PDF](https://link.springer.com/article/10.1007/s11263-024-02224-2) | [CODE](https://github.com/hustvl/WeakCLIP) |

| Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation | WeClip | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_Frozen_CLIP_A_Strong_Backbone_for_Weakly_Supervised_Semantic_Segmentation_CVPR_2024_paper.pdf) | [CODE](https://github.com/zbf1991/WeCLIP) |

| CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation | CUTS | MICCAI | Image | [PDF](https://arxiv.org/pdf/2209.11359.pdf) | [CODE](https://github.com/ChenLiu-1996/CUTS) |

| Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation | AGMM++ | arXiv | Image + Point + Scribble | [PDF](https://arxiv.org/pdf/2403.13225) | [CODE](https://github.com/Luffy03/AGMM-SASS) |

| ToNNO: Tomographic Reconstruction of a Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images | ToNNO | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2024/papers/Schmidt-Mengin_ToNNO_Tomographic_Reconstruction_of_a_Neural_Networks_Output_for_Weakly_CVPR_2024_paper.pdf) | [CODE]() |

| Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation | SeCo | CVPR | Image | [PDF](https://arxiv.org/pdf/2402.18467.pdf) | [CODE](https://github.com/zwyang6/SeCo) |

| DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation | DuPL | CVPR | Image | [PDF](https://arxiv.org/pdf/2403.11184.pdf) | [CODE](https://github.com/Wu0409/DuPL) |

| From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation | S2C | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2024/papers/Kweon_From_SAM_to_CAMs_Exploring_Segment_Anything_Model_for_Weakly_CVPR_2024_paper.pdf) | [CODE](https://github.com/sangrockEG/S2C) |

| Class Tokens Infusion for Weakly Supervised Semantic Segmentation | CTI | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2024/papers/Yoon_Class_Tokens_Infusion_for_Weakly_Supervised_Semantic_Segmentation_CVPR_2024_paper.pdf) | [CODE](https://github.com/yoon307/CTI) |

| Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation | AuxSegNet+ | TNNLS | Image | [PDF](https://arxiv.org/pdf/2403.01156.pdf) | [CODE](https://github.com/xulianuwa/AuxSegNet+) |

## 2023

| Title | Abbreviation | Venue | Supervision | PDF | CODE |

| :-----|:-----:|:-----:|:---:|:---:|:----:|

| Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures | AGMM | CVPR | Scribble | [PDF](https://openaccess.thecvf.com/content/CVPR2023/papers/Wu_Sparsely_Annotated_Semantic_Segmentation_With_Adaptive_Gaussian_Mixtures_CVPR_2023_paper.pdf) | [CODE](https://github.com/Luffy03/AGMM-SASS) |

| CUTS: A Framework for Multigranular Unsupervised Medical Image Segmentation | CUTS | arXiv | Image | [PDF](https://arxiv.org/pdf/2209.11359.pdf) | [CODE](https://github.com/ChenLiu-1996/CUTS) |

| Spatial Structure Constraints for Weakly Supervised Semantic Segmentation | SSC | TIP | Image | [PDF](https://arxiv.org/pdf/2401.11122.pdf) | [CODE](https://github.com/NUST-Machine-Intelligence-Laboratory/SSC) |

| Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation | PFSR | AAAI | Image | [PDF](https://arxiv.org/pdf/2312.08916.pdf) | [CODE](https://github.com/Jessie459/feature-self-reinforcement) |

| Foundation Model Assisted Weakly Supervised Semantic Segmentation | SAMS | arXiv | Image+SAM | [PDF](https://arxiv.org/pdf/2312.03585.pdf) | [CODE]() |

| QA-CLIMS: Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation | QA-CLIMS | MM | Image+CLIP | [PDF](https://dl.acm.org/doi/abs/10.1145/3581783.3612148) | [CODE](https://github.com/CVI-SZU/QA-CLIMS) |

|Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation | D2CAM | ICCV | Image | [PDF](https://openaccess.thecvf.com/content/ICCV2023/papers/Wang_Treating_Pseudo-labels_Generation_as_Image_Matting_for_Weakly_Supervised_Semantic_ICCV_2023_paper.pdf) | CODE|

| MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation | MARS | ICCV | Image | [PDF](https://arxiv.org/pdf/2304.09913.pdf) | [CODE](https://github.com/shjo-april/MARS) |

| Boundary-enhanced Co-training for Weakly Supervised Semantic Segmentation | BECO | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2023/papers/Rong_Boundary-Enhanced_Co-Training_for_Weakly_Supervised_Semantic_Segmentation_CVPR_2023_paper.pdf) | [CODE](https://github.com/ShenghaiRong/BECO) |

| Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation | OCR | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2023/papers/Cheng_Out-of-Candidate_Rectification_for_Weakly_Supervised_Semantic_Segmentation_CVPR_2023_paper.pdf) | [CODE](https://github.com/sennnnn/Out-of-Candidate-Rectification) |

| Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor | ACR | CVPR | Image |[PDF](https://openaccess.thecvf.com/content/CVPR2023/papers/Kweon_Weakly_Supervised_Semantic_Segmentation_via_Adversarial_Learning_of_Classifier_and_CVPR_2023_paper.pdf) | [CODE](https://github.com/sangrockEG/ACR) |

| Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation | MDBA | TIP | Image | [PDF](https://arxiv.org/pdf/2305.05154.pdf) | [CODE](https://github.com/NUST-Machine-Intelligence-Laboratory/MDBA) |

| Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation | SG-WSSS | arXiv | Image + SAM | [PDF](https://arxiv.org/pdf/2305.01275.pdf) | [CODE]() |

| Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models | -- | arXiv | Image + SAM | [PDF](https://arxiv.org/pdf/2310.13026.pdf) | [CODE]() |

| Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation | -- | arXiv | Image + SAM| [PDF](https://arxiv.org/pdf/2305.05803.pdf) | [CODE](https://github.com/cskyl/SAM_WSSS) |

| An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems | -- | arXiv | Image + SAM | [PDF](https://arxiv.org/pdf/2305.01586.pdf) | [CODE]() |

| Token Contrast for Weakly-Supervised Semantic Segmentation | ToCo | CVPR | Image | [PDF](https://arxiv.org/pdf/2303.01267.pdf) | [CODE](https://github.com/rulixiang/ToCo) |

| Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization | MMCST | CVPR | Image + CLIP | [PDF](https://openaccess.thecvf.com/content/CVPR2023/papers/Xu_Learning_Multi-Modal_Class-Specific_Tokens_for_Weakly_Supervised_Dense_Object_Localization_CVPR_2023_paper.pdf) | [CODE](https://github.com/xulianuwa/MMCST) |

| Extracting Class Activation Maps from Non-Discriminative Features as well | LPCAM | CVPR | Image | [PDF](https://arxiv.org/pdf/2303.10334.pdf) | [CODE](https://github.com/zhaozhengChen/LPCAM) |

| Boundary-enhanced Co-training for Weakly Supervised Semantic Segmentation | BECO | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2023/papers/Rong_Boundary-Enhanced_Co-Training_for_Weakly_Supervised_Semantic_Segmentation_CVPR_2023_paper.pdf) | [CODE](https://github.com/ShenghaiRong/BECO) |

| CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation | CLIP-ES | CVPR | Image + CLIP | [PDF](https://arxiv.org/pdf/2212.09506.pdf) | [CODE](https://github.com/linyq2117/CLIP-ES) |

|Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation | SCD | AAAI | Image | [PDF](https://arxiv.org/abs/2302.13765) | [CODE](https://github.com/Rongtao-Xu/RepresentationLearning/tree/main/SCD-AAAI2023) |

## 2022

| Title | Abbreviation | Venue | Supervision | PDF | CODE |

| :-----|:-----:|:-----:|:---:|:---:|:----:|

|Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation | ViT-PCM | ECCV | Image | [PDF](https://arxiv.org/pdf/2210.17400.pdf) | [CODE]() |

| Dual Progressive Transformations for Weakly Supervised Semantic Segmentation | | arXiv | Image | [PDF](https://arxiv.org/pdf/2209.15211.pdf) | [CODE]() |

| Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation | ESOL| NeurIPS | Image | [PDF](https://arxiv.org/pdf/2209.07761.pdf) | [CODE](https://github.com/TyroneLi/ESOL_WSSS) |

| Weakly Supervised Semantic Segmentation via Progressive Patch Learning | PPL | TMM | Image | [PDF](https://arxiv.org/pdf/2209.07828.pdf) | [CODE](https://github.com/TyroneLi/PPL_WSSS) |

| Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization | AdvCAM | TPAMI | Image | [PDF](https://arxiv.org/pdf/2204.04890.pdf) | CODE |

| Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation | I²CRC | TMM | Image | [PDF](https://arxiv.org/pdf/2206.09554.pdf) | [CODE](https://github.com/NUST-Machine-Intelligence-Laboratory/I2CRC) ||

| C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation | C2AM | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2022/papers/Xie_C2AM_Contrastive_Learning_of_Class-Agnostic_Activation_Map_for_Weakly_Supervised_CVPR_2022_paper.pdf) | [CODE](https://github.com/CVI-SZU/CCAM) ||

| Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation | SANCE | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2022/papers/Li_Towards_Noiseless_Object_Contours_for_Weakly_Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf) | [CODE](https://github.com/BraveGroup/SANCE) |

| Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation | SIPE | CVPR | Image | [PDF](https://arxiv.org/abs/2203.02909) | [CODE](https://github.com/chenqi1126/SIPE) |

|  Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast | PPC | CVPR | Image | [PDF](https://arxiv.org/abs/2110.07110) | [CODE](https://github.com/usr922/wseg) |

| Weakly Supervised Semantic Segmentation using Out-of-Distribution Data | W-OoD | CVPR | Image | [PDF](https://arxiv.org/pdf/2203.03860.pdf) | [CODE](https://github.com/naver-ai/w-ood) |

| Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation | ReCAM | CVPR | Image | [PDF](https://arxiv.org/pdf/2203.00962.pdf) | [CODE](https://github.com/zhaozhengChen/ReCAM) |

|Multi-class Token Transformer for Weakly Supervised Semantic Segmentation | MCTformer | CVPR | Image | [PDF](https://arxiv.org/pdf/2203.02891.pdf) | [CODE](https://github.com/xulianuwa/MCTformer) |

|Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformer | AFA | CVPR | Image | [PDF](https://arxiv.org/pdf/2203.02664.pdf) | [CODE](https://github.com/rulixiang/afa) ||

|L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation | L2G | CVPR | Image | [PDF](https://arxiv.org/abs/2204.03206) | [CODE](https://github.com/PengtaoJiang/L2G) |

| Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds | AMN | CVPR | Image | [PDF](https://arxiv.org/pdf/2203.16045.pdf) | [CODE](https://github.com/gaviotas/AMN)|

|Cross Language Image Matching for Weakly Supervised Semantic Segmentation | CLIMS | CVPR | Image+Language | [PDF](https://arxiv.org/pdf/2203.02668.pdf) | [CODE](https://github.com/CVI-SZU/CLIMS) |

| Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation | RCA | CVPR | Image | [PDF](https://arxiv.org/pdf/2203.09653.pdf) | [CODE](https://github.com/maeve07/RCA) |

| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | URN | AAAI | Image | [PDF](https://arxiv.org/pdf/2112.07431.pdf) | [CODE](https://github.com/XMed-Lab/URN)|

| Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning | MCIS | TPAMI | Image | [PDF](https://ieeexplore.ieee.org/abstract/document/9760057) | [CODE](https://github.com/GuoleiSun/MCIS_wsss) |

## 2021

| Title | Abbreviation | Venue | Supervision | PDF | CODE |

| :-----|:-----:|:-----:|:---:|:---:|:----:|

| Online Attention Accumulation for Weakly Supervised Semantic Segmentation | OAA | TPAMI | Image | [PDF](https://mftp.mmcheng.net/Papers/21PAMI-OAA_PAMI.pdf) | [CODE](https://github.com/PengtaoJiang/OAA-PyTorch) |

| End-to-end Boundary Exploration for Weakly-supervised Semantic Segmentation || Multimedia | Image | [PDF](https://dl.acm.org/doi/pdf/10.1145/3474085.3475402) | CODE |

| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | RIB | NeurIPS | Image | [PDF](https://arxiv.org/pdf/2110.06530.pdf) | [CODE](https://github.com/jbeomlee93/RIB) |

| Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation | OC-CSE | ICCV | Image | [PDF](https://openaccess.thecvf.com/content/ICCV2021/papers/Kweon_Unlocking_the_Potential_of_Ordinary_Classifier_Class-Specific_Adversarial_Erasing_Framework_ICCV_2021_paper.pdf) | [CODE](https://github.com/KAIST-vilab/OC-CSE) |

| ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps | ECS-Net | ICCV | Image | [PDF](https://openaccess.thecvf.com/content/ICCV2021/papers/Sun_ECS-Net_Improving_Weakly_Supervised_Semantic_Segmentation_by_Using_Connections_Between_ICCV_2021_paper.pdf) | CODE |

| Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation | AuxSegNet | ICCV | Image | [PDF](https://arxiv.org/pdf/2107.11787.pdf) |[CODE](https://github.com/xulianuwa/AuxSegNet) |

| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation  | PMM | ICCV | Image | [PDF](https://arxiv.org/pdf/2108.12995.pdf) | [CODE](https://github.com/Eli-YiLi/PMM) |

| Complementary Patch for Weakly Supervised Semantic Segmentation || ICCV | Image | [PDF](https://arxiv.org/abs/2108.03852) | CODE |

| Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation | NSROM | CVPR | Image | [PDF](https://arxiv.org/pdf/2103.14581.pdf) | [CODE](https://github.com/NUST-Machine-Intelligence-Laboratory/nsrom) |

| Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation | EPS | CVPR | Image | [PDF](https://arxiv.org/pdf/2105.08965.pdf) | [CODE](https://github.com/halbielee/EPS) |

| Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation | EDAM | CVPR | Image | [PDF](https://openaccess.thecvf.com/content/CVPR2021/papers/Wu_Embedded_Discriminative_Attention_Mechanism_for_Weakly_Supervised_Semantic_Segmentation_CVPR_2021_paper.pdf) | [CODE](https://github.com/allenwu97/EDAM) |

| Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation | AdvCAM | CVPR | Image & Semi | [PDF](https://openaccess.thecvf.com/content/CVPR2021/papers/Lee_Anti-Adversarially_Manipulated_Attributions_for_Weakly_and_Semi-Supervised_Semantic_Segmentation_CVPR_2021_paper.pdf) |[CODE](https://github.com/jbeomlee93/AdvCAM) |

| BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation | BBAM | CVPR | Box | [PDF](https://arxiv.org/pdf/2103.08907.pdf) | [CODE](https://github.com/jbeomlee93/BBAM) |

| Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation | BANA | CVPR | Box | [PDF](https://arxiv.org/pdf/2104.00905.pdf) | [CODE](https://cvlab.yonsei.ac.kr/projects/BANA) |

| Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation | DRS | AAAI | Image | [PDF](https://arxiv.org/pdf/2103.07246.pdf) | [CODE](https://github.com/qjadud1994/DRS) |

| Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation | Group-WSSS | AAAI | Image | [PDF](https://arxiv.org/pdf/2012.05007.pdf) | [CODE](https://github.com/Lixy1997/Group-WSSS) |

| Puzzle-CAM: Improved localization via matching partial and full features | PuzzleCAM | ICIP | Image | [pdf](https://arxiv.org/pdf/2101.11253.pdf) | [CODE](https://github.com/OFRIN/PuzzleCAM)

| Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation | CDA | arXiv | Image | [PDF](https://arxiv.org/pdf/2103.01795.pdf) | [CODE](https://github.com/suyukun666/CDA) |

| Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks | WSGCN | ICME | Image | [PDF](https://arxiv.org/pdf/2103.16762.pdf) | [CODE](https://github.com/Xavier-Pan/WSGCN) |

## 2020

| Title | Abbreviation | Venue | Supervision | PDF | CODE |

| :-----|:-----:|:-----:|:---:|:---:|:----:|

| Causal Intervention for Weakly-Supervised Semantic Segmentation | CONTA | NeurIPS | Image | [PDF](https://arxiv.org/pdf/2009.12547.pdf) | [CODE](https://github.com/ZHANGDONG-NJUST/CONTA) |

| Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation | MCIS | ECCV | Image | [PDF](https://arxiv.org/pdf/2007.01947.pdf) | [CODE](https://github.com/GuoleiSun/MCIS_wsss) |

| Weakly supervised semantic segmentation with boundary exploration || ECCV | Image | [PDF](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123710341.pdf) | CODE

| Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation || ECCV | Image | [PDF](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670664.pdf) | CODE

| Employing multi-estimations for weakly-supervised semantic segmentation | Multi-Est. | ECCV | Image | [PDF](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123620324.pdf) | CODE

| Weakly-Supervised Semantic Segmentation via Sub-category Exploration | SC-CAM | CVPR | Image | [PDF](https://arxiv.org/pdf/2008.01183.pdf) | [CODE](https://github.com/Juliachang/SC-CAM) |

| Single-Stage Semantic Segmentation from Image Labels || CVPR | Image | [PDF](https://arxiv.org/pdf/2005.08104.pdf) | [CODE](https://github.com/visinf/1-stage-wseg) |

| Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation | SEAM | CVPR | Image | [PDF](https://arxiv.org/pdf/2004.04581.pdf) | [CODE](https://github.com/YudeWang/SEAM)

| Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation | ICD | CVPR | Image | [PDF](https://openaccess.thecvf.com/content_CVPR_2020/papers/Fan_Learning_Integral_Objects_With_Intra-Class_Discriminator_for_Weakly-Supervised_Semantic_Segmentation_CVPR_2020_paper.pdf) | [CODE](https://github.com/js-fan/ICD)

| Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach || AAAI | Image | [PDF](https://arxiv.org/pdf/1911.08039.pdf) | CODE

| CIAN: Cross-Image Afﬁnity Net for Weakly Supervised Semantic Segmentation | CIAN | AAAI | Image | [PDF](https://arxiv.org/pdf/1811.10842.pdf) | [CODE](https://github.com/js-fan/CIAN)

| Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning || IJCV | Image | [PDF](https://arxiv.org/pdf/2002.08098.pdf) | CODE |

| Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization | Mixup-CAM | BMVC | Image | [PDF](https://arxiv.org/pdf/2008.01201.pdf) | CODE |

| Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation | LIID | TPAMI | Image | [PDF](http://mftp.mmcheng.net/Papers/21PAMI_InsImgDatasetWSIS.pdf) | [CODE](https://github.com/yun-liu/LIID) |

## 2019

| Title | Abbreviation | Venue | Supervision | PDF | CODE |

| :-----|:-----:|:-----:|:---:|:---:|:----:|

| Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation | SSDD | ICCV | Image | [PDF](https://arxiv.org/pdf/1911.01370.pdf) | [CODE](https://github.com/shimoda-uec/ssdd)

| Integral Object Mining via Online Attention Accumulation | OAA | ICCV | Image | [PDF](https://openaccess.thecvf.com/content_ICCV_2019/papers/Jiang_Integral_Object_Mining_via_Online_Attention_Accumulation_ICCV_2019_paper.pdf) | [CODE](https://github.com/PengtaoJiang/OAA-PyTorch)

| Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations | IRN | CVPR | Image | [PDF](https://openaccess.thecvf.com/content_CVPR_2019/papers/Ahn_Weakly_Supervised_Learning_of_Instance_Segmentation_With_Inter-Pixel_Relations_CVPR_2019_paper.pdf) | [CODE](https://github.com/jiwoon-ahn/irn)

| Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation || ICCV | Image | [PDF](https://arxiv.org/pdf/1910.05475v2.pdf) | [CODE](https://github.com/yaoqi-zd/SGAN)

| Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation |  SSNet | ICCV | Image | [PDF](https://openaccess.thecvf.com/content_ICCV_2019/papers/Zeng_Joint_Learning_of_Saliency_Detection_and_Weakly_Supervised_Semantic_Segmentation_ICCV_2019_paper.pdf) | [CODE](https://github.com/zengxianyu/jsws)

| A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains | | IJCV | ~~~~ | [PDF](https://arxiv.org/pdf/1912.11186.pdf) | [CODE](https://github.com/lyndonchan/wsss-analysis)

## 2018

| Title | Abbreviation | Venue | Supervision | PDF | CODE |

| :-----|:-----:|:-----:|:---:|:---:|:----:|

| Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing | DSRG | CVPR | Image | [PDF](https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.pdf) | [CODE](https://github.com/speedinghzl/DSRG) |

| Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation | AffinityNet | CVPR | Image | [PDF](https://openaccess.thecvf.com/content_cvpr_2018/papers/Ahn_Learning_Pixel-Level_Semantic_CVPR_2018_paper.pdf) | [CODE](https://github.com/jiwoon-ahn/psa)|

|Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features | MCOF | CVPR | Image | [PDF](https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.pdf) | [CODE]()|

| Self-Erasing Network for Integral Object Attention | SeeNet | NeurIPS | Image | [PDF](https://proceedings.neurips.cc/paper/2018/file/c042f4db68f23406c6cecf84a7ebb0fe-Paper.pdf) | [CODE](https://github.com/Andrew-Qibin/SeeNet) |

| Tell me where to look: Guided attention inference network | GAIN | CVPR | Image |[PDF](https://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Tell_Me_Where_CVPR_2018_paper.pdf)| [CODE](https://github.com/alokwhitewolf/Guided-Attention-Inference-Network) |

## 2017

| Title | Abbreviation | Venue | Supervision | PDF | CODE |

| :-----|:-----:|:-----:|:---:|:---:|:----:|

|Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach | AE-PSL | CVPR | Image | [PDF](https://openaccess.thecvf.com/content_cvpr_2017/papers/Wei_Object_Region_Mining_CVPR_2017_paper.pdf) | CODE|