awesome-weakly-supervised-segmentation

Weakly Supervised Learning for Image Segmentation, a collection of literature reviews and code implementations.
https://github.com/lichen14/awesome-weakly-supervised-segmentation

Last synced: 6 days ago
JSON representation

Benchmark
- Medical images
  - Scribble2Label
  - VS
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - BraTS
  - IS-COVID dataset
  - Lesion Segmentation (CC-COVID) dataset - 0.pdf)
  - ACDC dataset - s.github.io/multiscale-adversarial-attention-gates/data)
  - LVSC dataset - adversarial-attention-gates/blob/fc05d70d411d20147075392c14fced274c1bf6ee/data_interface/scribble_generators/scribble_generators.py#L5)
  - MSCMRseg dataset
  - CHAOS dataset - adversarial-attention-gates/blob/fc05d70d411d20147075392c14fced274c1bf6ee/data_interface/scribble_generators/scribble_generators.py#L5)
  - Valvano et al.
  - EM - science-bowl-2018/)&[MoNuSeg](https://ieeexplore.ieee.org/document/7872382)
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - Scribble2Label
  - VS
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - Scribble2Label
  - VS
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
  - VS
  - Scribble2Label
- Natural Images
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - COD10K
  - CAMO
  - CHAMELEON
  - MS-COCO
  - PASCAL VOC
  - Bees
  - CrowdHuman
  - Objects365
  - DUTS
  - ECSSD
  - DUT
  - PASCAL-S
  - HKU-IS
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - THUR
  - MS-COCO
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - MS-COCO
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - THUR
  - PASCAL VOC
  - THUR
  - MS-COCO
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - MS-COCO
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
  - PASCAL VOC
  - THUR
Literature List
- github - segmentation)|
- github - segmentation)|
- github - segmentation)|
- github - DETR_Omni-Supervised_Object_Detection_With_Transformers_CVPR_2022_paper.html)|__`point.`__ __`box.`__ __`img.`__|:sunflower: [MS-COCO, PASCAL VOC, Bees, CrowdHuman, Objects365](#semi-or-weak-supervised-object-detection)|
- github
- github - segmentation), [Abdominal Segmentation](#abdominal-segmentation)|
- github - 19|
- github - S, HKU-IS, THUR](#salient-object-detection)|
- github - 3-030-59710-8_2)|__`scrib.`__|:hospital: [Cell segmentation](#cell-segmentation)|
- Arxiv
- Arxiv - object-detection)|
- Pattern Recognition - 19](#is-covid-dataset)|
- github
- TMI
- github - DETR_Omni-Supervised_Object_Detection_With_Transformers_CVPR_2022_paper.html)|__`point.`__ __`box.`__ __`img.`__|:sunflower: [MS-COCO, PASCAL VOC, Bees, CrowdHuman, Objects365](#semi-or-weak-supervised-object-detection)|
Content
- Mean Teacher - 3-319-66179-7_47); (4) [Uncertainty Aware Mean Teacher](https://arxiv.org/pdf/1907.07034.pdf); (5) [Interpolation Consistency Training](https://arxiv.org/pdf/1903.03825.pdf); (6) [Uncertainty Rectified Pyramid Consistency](https://arxiv.org/pdf/2012.07042.pdf); (7) [Cross Pseudo Supervision](https://arxiv.org/abs/2106.01226); (8) [Cross Consistency Training](https://openaccess.thecvf.com/content_CVPR_2020/papers/Ouali_Semi-Supervised_Semantic_Segmentation_With_Cross-Consistency_Training_CVPR_2020_paper.pdf); (9) [Deep Co-Training](https://openaccess.thecvf.com/content_ECCV_2018/papers/Siyuan_Qiao_Deep_Co-Training_for_ECCV_2018_paper.pdf); (10) [Cross Teaching between CNN and Transformer](https://arxiv.org/pdf/2112.04894.pdf); (11) [FixMatch](https://arxiv.org/abs/2001.07685); (12) [Regularized Dropout](https://proceedings.neurips.cc/paper/2021/file/5a66b9200f29ac3fa0ae244cc2a51b39-Paper.pdf). In addition, several backbones networks (both 2D and 3D) are also supported in this repo, such as **UNet, nnUNet, VNet, AttentionUNet, ENet, Swin-UNet, etc**.
- Mean Teacher - 3-319-66179-7_47); (4) [Uncertainty Aware Mean Teacher](https://arxiv.org/pdf/1907.07034.pdf); (5) [Interpolation Consistency Training](https://arxiv.org/pdf/1903.03825.pdf); (6) [Uncertainty Rectified Pyramid Consistency](https://arxiv.org/pdf/2012.07042.pdf); (7) [Cross Pseudo Supervision](https://arxiv.org/abs/2106.01226); (8) [Cross Consistency Training](https://openaccess.thecvf.com/content_CVPR_2020/papers/Ouali_Semi-Supervised_Semantic_Segmentation_With_Cross-Consistency_Training_CVPR_2020_paper.pdf); (9) [Deep Co-Training](https://openaccess.thecvf.com/content_ECCV_2018/papers/Siyuan_Qiao_Deep_Co-Training_for_ECCV_2018_paper.pdf); (10) [Cross Teaching between CNN and Transformer](https://arxiv.org/pdf/2112.04894.pdf); (11) [FixMatch](https://arxiv.org/abs/2001.07685); (12) [Regularized Dropout](https://proceedings.neurips.cc/paper/2021/file/5a66b9200f29ac3fa0ae244cc2a51b39-Paper.pdf). In addition, several backbones networks (both 2D and 3D) are also supported in this repo, such as **UNet, nnUNet, VNet, AttentionUNet, ENet, Swin-UNet, etc**.
Tutorial
- Others
  - A brief introduction to weakly supervised learning - 53.
- /projects/link.springer.com%2Farticle%2F10.1007%2Fs00371-013-0867-4%3Ferror=cookies_not_supported&code=434f6698-b893-441b-9993-acf8bdcf8f8f

Programming Languages

Python 8 HTML 1

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

awesome-weakly-supervised-segmentation

Benchmark

Medical images

Natural Images

Literature List

Content

Tutorial

Others