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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
- 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**.
- Arxiv
- Arxiv - object-detection)|
- github - segmentation)|
- github - segmentation)|
- github - segmentation)|
- github - segmentation)|
- Pattern Recognition - 19](#is-covid-dataset)|
- github - segmentation)|
- github - segmentation)|
- github - segmentation)|
- github - segmentation)|
- github - segmentation)|
- TMI
- github - segmentation)|
- 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
- COD10K
- CAMO
- CHAMELEON
- MS-COCO
- PASCAL VOC
- Bees
- CrowdHuman
- Objects365
- DUTS
- ECSSD
- DUT
- PASCAL-S
- HKU-IS
- THUR
- A brief introduction to weakly supervised learning - 53.
Keywords
weakly-supervised-learning
3
weakly-supervised-segmentation
2
medical-image-segmentation
2
semantic-segmentation
1
metric-learning
1
deep-learning
1
computer-vision
1
semi-supervised-learning
1
omni-supervised-learning
1
object-detection
1
segmentation
1
scribble-supervision
1
scribble-segmentation
1
scribble
1
mixup
1