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https://github.com/JiaweiZhao-git/Awesome-Multi-label-Image-Recognition
Awesome Multi-label Image Recognition Paper List
https://github.com/JiaweiZhao-git/Awesome-Multi-label-Image-Recognition
List: Awesome-Multi-label-Image-Recognition
awesome-list multi-label-image-classification
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Awesome Multi-label Image Recognition Paper List
- Host: GitHub
- URL: https://github.com/JiaweiZhao-git/Awesome-Multi-label-Image-Recognition
- Owner: JiaweiZhao-git
- Created: 2021-07-05T09:25:27.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-18T04:34:49.000Z (almost 2 years ago)
- Last Synced: 2024-05-23T06:25:10.549Z (7 months ago)
- Topics: awesome-list, multi-label-image-classification
- Homepage:
- Size: 10.7 KB
- Stars: 153
- Watchers: 4
- Forks: 36
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - Awesome-Multi-label-Image-Recognition - Awesome Multi-label Image Recognition Paper List . (Other Lists / Monkey C Lists)
README
# Awesome Multi-label Image Recognition Paper List
:triangular_flag_on_post: **NOTE**: Future updates can be found in [iCVTEAM/Awesome-Multi-label-Image-Recognition](https://github.com/iCVTEAM/Awesome-Multi-label-Image-Recognition) maintained by our lab.
:running: **Keep updating** deep learning based multi-label image recognition (MLIR) methods with different settings.
Todo List:
- [ ] More Tags
- [ ] Performance Statistics
- [ ] Datasets
- [ ] Surveys
- [x] Other Settings
------
## Content:
1. Multi-label Image Recognition
2. Noisy-label Multi-label Image Recognition
3. Partial-label Multi-label Image Recognition
4. Zero-shot Multi-label Image Recognition
5. Few-shot Multi-label Image Recognition
------
# Multi-label Image Recognition
## 2021
**Pub.** | **Title** | **Links**
:-: | :- | :-:
**ICCV** | **[TDRG]** Transformer-based Dual Relation Graph for Multi-label Image Recognition | [Paper](https://openaccess.thecvf.com/content/ICCV2021/html/Zhao_Transformer-Based_Dual_Relation_Graph_for_Multi-Label_Image_Recognition_ICCV_2021_paper.html)/[Code](https://github.com/iCVTEAM/TDRG)
**ICCV** | **[ASL]** Asymmetric Loss For Multi-Label Classification | [Paper](https://arxiv.org/abs/2009.14119)/[Code](https://github.com/Alibaba-MIIL/ASL)
**ICCV** | **[CSRA]** Residual Attention: A Simple but Effective Method for Multi-Label Recognition | [Paper](https://arxiv.org/abs/2108.02456)/[Code](https://github.com/Kevinz-code/CSRA)
**ACM MM** | **[M3TR]** M3TR: Multi-modal Multi-label Recognition with Transformer | [Paper](https://dl.acm.org/doi/abs/10.1145/3474085.3475191)/[Code](https://github.com/iCVTEAM/M3TR)
**CVPR** | **[C-Trans]** General Multi-label Image Classification with Transformers | [Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Lanchantin_General_Multi-Label_Image_Classification_With_Transformers_CVPR_2021_paper.pdf)/[Code](https://github.com/QData/C-Tran)
**TPAMI** | **[P-GCN]** Learning Graph Convolutional Networks for Multi-Label Recognition and Applications | [Paper](https://ieeexplore.ieee.org/abstract/document/9369105)/Code
**TIP** | **[MCAR]** Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition | [Paper](https://arxiv.org/abs/2007.01755)/[Code](https://github.com/gaobb/MCAR)
**IJCAI** | **[GM-MLIC]** GM-MLIC: Graph Matching based Multi-Label Image Classification | [Paper](https://arxiv.org/abs/2104.14762)/Code
**AAAI** | **[DSDL]** Deep Semantic Dictionary Learning for Multi-label Image Classification | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/16472)/[Code](https://github.com/ZFT-CQU/DSDL)
**AAAI** | **[MGTN]** Modular Graph Transformer Networks for Multi-Label Image Classification | [Paper](https://people.cs.umu.se/sonvx/files/2021_AAAI_MGTN.pdf)/[Code](https://github.com/ReML-AI/MGTN)
**ICME** | Spatial-context-aware Deep Neural Network for Multi-class Image Classification | [Paper](https://arxiv.org/pdf/2111.12296.pdf)/Code
arxiv | MlTr: Multi-label Classification with Transformer | [Paper](https://arxiv.org/abs/2106.06195)/[Code](https://github.com/starmemda/MlTr/)
arxiv | Query2Label: A Simple Transformer Way to Multi-Label Classification | [Paper](https://arxiv.org/pdf/2107.10834.pdf)/[Code](https://github.com/SlongLiu/query2labels)
## 2020
| **Pub.** | **Title** | **Links** |
| :--------: | :----------------------------------------------------------- | :----------------------------------------------------------: |
| **CVPR** | **[PLA]** Orderless_Recurrent_Models_for_Multi-Label_Classification | [Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yazici_Orderless_Recurrent_Models_for_Multi-Label_Classification_CVPR_2020_paper.pdf)/[Code](https://github.com/voyazici/orderless-rnn-classification) |
| **ECCV** | **[ADD-GCN]** Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition | [Paper](https://arxiv.org/abs/2012.02994)/[Code](https://github.com/Yejin0111/ADD-GCN) |
| **ACM MM** | **[SGTN]** Privacy-Preserving Visual Content Tagging using Graph Transformer Networks | [Paper](https://dl.acm.org/doi/10.1145/3394171.3414047)/[Code](https://github.com/ReML-AI/sgtn) |
| **ACM MM** | **[AdaHGNN]** AdaHGNN: Adaptive Hypergraph Neural Networks for Multi-Label Image Classification | [Paper](https://dl.acm.org/doi/10.1145/3394171.3414046)/Code |
| **AAAI** | **[KSSNet]** Multi-Label Classification with Label Graph Superimposing | [Paper](https://arxiv.org/abs/1911.09243)/[Code](https://github.com/mathkey/mssnet) |
| **AAAI** | **[MS-CMA]** Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification | [Paper](https://arxiv.org/abs/1912.07872)/Code |
| **TMM** | **[DER]** Disentangling, Embedding and Ranking Label Cues for Multi-Label Image Recognition | [Paper](https://ieeexplore.ieee.org/document/9122471)/Code |
| **TMM** | **[TS-GCN]** Joint Input and Output Space Learning for Multi-Label Image Classification | [Paper](https://ieeexplore.ieee.org/document/9115821)/Code |
| **TPAMI** | **[KGGR]** Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition | [Paper](https://arxiv.org/abs/2009.09450)/Code |
## 2019
| **Pub.** | **Title** | **Links** |
| :------: | :----------------------------------------------------------- | :----------------------------------------------------------: |
| **CVPR** | **[ML-GCN]** Multi-Label Image Recognition with Graph Convolutional Networks | [Paper](https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Multi-Label_Image_Recognition_With_Graph_Convolutional_Networks_CVPR_2019_paper.pdf)/[Code](https://github.com/Megvii-Nanjing/ML-GCN) |
| **CVPR** | **[VAC]** Visual Attention Consistency under Image Transforms for Multi-Label Image Classification | [Paper](https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_Visual_Attention_Consistency_Under_Image_Transforms_for_Multi-Label_Image_Classification_CVPR_2019_paper.pdf)/[Code](https://github.com/hguosc/visual_attention_consistency) |
| **ICCV** | **[SSGRL]** Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition | [Paper](https://arxiv.org/abs/1908.07325)/[Code](https://github.com/HCPLab-SYSU/SSGRL) |
| **ICME** | Multi-Label Image Recognition with Joint Class-Aware Map Disentangling and Label Correlation Embedding | [Paper](http://www.weixiushen.com/publication/icme19.pdf)/Code |
| **TSCB** | Multi-label Image Classification via Feature/Label Co-Projection | [Paper](https://ieeexplore.ieee.org/document/8985434)/Code |
## 2015~2018
| **Pub.** | **Title** | **Links** |
| :-------: | :----------------------------------------------------------- | :----------------------------------------------------------: |
| **IJCAI** | **[MsDPD]** Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification | [Paper](https://www.ijcai.org/Proceedings/2018/0090.pdf)/Code |
| **CVPR** | **[SRN]** Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification | [Paper](https://openaccess.thecvf.com/content_cvpr_2017/papers/Zhu_Learning_Spatial_Regularization_CVPR_2017_paper.pdf)/[Code](https://github.com/zhufengx/SRN_multilabel) |
| **CVPR** | **[CNN-RNN]** CNN-RNN: A Unified Framework for Multi-label Image Classification | [Paper](https://arxiv.org/abs/1604.04573)/[Code](https://github.com/AmrMaghraby/CNN-RNN-A-Unified-Framework-for-Multi-label-Image-Classification) |
| **ICCV** | **[WILDCAT]** WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation | [Paper](https://openaccess.thecvf.com/content_cvpr_2017/papers/Durand_WILDCAT_Weakly_Supervised_CVPR_2017_paper.pdf)/[Code](https://github.com/durandtibo/wildcat.pytorch) |
| **ICCV** | **[RDAR]** Multi-label Image Recognition by Recurrently Discovering Attentional Regions | [Paper](https://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Multi-Label_Image_Recognition_ICCV_2017_paper.pdf)/[Code](https://github.com/James-Yip/AttentionImageClass) |
| **AAAI** | **[Order-Free RNN]** Order-Free RNN with Visual Attention for Multi-Label Classification | [Paper](https://arxiv.org/abs/1707.05495)/Code |
| **TPAMI** | **[HCP]** HCP: A Flexible CNN Framework for Multi-Label Image Classification | [Paper](https://ieeexplore.ieee.org/document/7305792)/Code |
# Noisy-label Multi-label Image Recognition
## 2017~2021
| **Pub.** | **Title** | **Links** |
| :------: | :----------------------------------------------------------- | :----------------------------------------------------------: |
| **CVPR** | Learning From Noisy Large-Scale Datasets With Minimal Supervision | [Paper](https://openaccess.thecvf.com/content_cvpr_2017/papers/Veit_Learning_From_Noisy_CVPR_2017_paper.pdf)/Code |
| **CVPR** | Weakly Supervised Image Classification through Noise Regularization | [Paper](https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Weakly_Supervised_Image_Classification_Through_Noise_Regularization_CVPR_2019_paper.pdf)/Code |
| **ACCV** | Multi-label Learning from Noisy Labels with Non-linear Feature Transformation | [Paper](https://vipl.ict.ac.cn/uploadfile/upload/2018111615590567.pdf)/Code |
| **ICMR** | Confidence-basedWeighted Loss for Multi-label Classification with Missing Labels | [Paper](https://dl.acm.org/doi/abs/10.1145/3372278.3390728)/Code |
# Partial-label Multi-label Image Recognition
## 2019~2022
| **Pub.** | **Title** | **Links** |
| :---------: | :----------------------------------------------------------- | :----------------------------------------------------------: |
| **CVPR** | Learning a Deep ConvNet for Multi-label Classification with Partial Labels | [Paper](https://openaccess.thecvf.com/content_CVPR_2019/papers/Durand_Learning_a_Deep_ConvNet_for_Multi-Label_Classification_With_Partial_Labels_CVPR_2019_paper.pdf)/Code |
| **CVPR** | Interactive Multi-Label CNN Learning with Partial Labels | [Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Huynh_Interactive_Multi-Label_CNN_Learning_With_Partial_Labels_CVPR_2020_paper.pdf)/Code |
| **NeurIPS** | Exploiting weakly supervised visual patterns to learn from partial annotations | [Paper](https://proceedings.neurips.cc/paper/2020/file/066ca7bf90807fcd8e4f1eaef4e4e8f7-Paper.pdf)/Code |
| **AAAI** | Structured Semantic Transfer for Multi-Label Recognition with Partial Labels | [Paper](https://arxiv.org/abs/2112.10941)/[Code](https://github.com/HCPLab-SYSU/HCP-MLR-PL) |
| **AAAI** | Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels | [Paper](https://github.com/HCPLab-SYSU/HCP-MLR-PL/blob/main)/[Code](https://github.com/HCPLab-SYSU/HCP-MLR-PL) |
# Zero-shot Multi-label Image Recognition
## 2018~2021
| **Pub.** | **Title** | **Links** |
| :------: | :----------------------------------------------------------- | :----------------------------------------------------------: |
| **CVPR** | Fast Zero-Shot Image Tagging | [Paper](https://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Fast_Zero-Shot_Image_CVPR_2016_paper.pdf)/Code |
| **CVPR** | Multi-Label Zero-Shot Learning with Structured Knowledge Graphs | [Paper](https://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_Multi-Label_Zero-Shot_Learning_CVPR_2018_paper.pdf)/[Code](https://github.com/Phoenix1327/ML-ZSL) |
| **CVPR** | A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning | [Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Huynh_A_Shared_Multi-Attention_Framework_for_Multi-Label_Zero-Shot_Learning_CVPR_2020_paper.pdf)/Code |
| **ICCV** | Semantic Diversity Learning for Zero-Shot Multi-label Classification | [Paper](https://arxiv.org/abs/2105.05926)/[Code](https://github.com/Alibaba-MIIL/ZS_SDL) |
# Few-shot Multi-label Image Recognition
## 2022
| **Pub.** | **Title** | **Links** |
| :------: | :----------------------------------------------------------- | :----------------------------------------------------------: |
| **AAAI** | Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention | [Paper](https://arxiv.org/pdf/2112.01037.pdf)/Code |
| **WACV** | Meta-Learning for Multi-Label Few-Shot Classification | [Paper](https://openaccess.thecvf.com/content/WACV2022/papers/Simon_Meta-Learning_for_Multi-Label_Few-Shot_Classification_WACV_2022_paper.pdf)/Code |