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Weakly-Supervised Semantic Segmentation

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The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-supervised setting, the dataset consists of images and corresponding annotations that are relatively easy to obtain, such as tags/labels of objects present in the image.

<span style="color:grey; opacity: 0.6">( Image credit: Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lukasliebel/dfc2020_baseline

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Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and Opportunities

https://github.com/lyndonchan/wsss-analysis

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A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains

https://github.com/maeve07/rca

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Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

https://github.com/naver-ai/w-ood

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Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

https://github.com/nexer8/se3d

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SE3D: A Framework For Saliency Method Evaluation In 3D Imaging

https://github.com/nust-machine-intelligence-laboratory/i2crc

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Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation

https://github.com/nust-machine-intelligence-laboratory/ktse

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Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation

https://github.com/nust-machine-intelligence-laboratory/mdba

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Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation

https://github.com/nust-machine-intelligence-laboratory/ssc

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Spatial Structure Constraints for Weakly Supervised Semantic Segmentation

https://github.com/nvlabs/semples

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Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation

https://github.com/opennlplab/acr_wsss

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All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation

https://github.com/pengtaojiang/l2g

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L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

https://github.com/qi-nemosong/ep-sam

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EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything

https://github.com/qi-nemosong/eplc-sam

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EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything

https://github.com/qizhuli/Weakly-Supervised-Panoptic-Segmentation

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Weakly- and Semi-Supervised Panoptic Segmentation

https://github.com/qjadud1994/DRS

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Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation

https://github.com/rayleizhu/glmix

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Revisiting the Integration of Convolution and Attention for Vision Backbone

https://github.com/rb080/wss_pole

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Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation

https://github.com/rmokady/mbu-content-tansfer

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Mask Based Unsupervised Content Transfer

https://github.com/rongtao-xu/representationlearning

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Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation

https://github.com/rozhanahmadi/swtformer

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Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic Segmentation

https://github.com/rulixiang/afa

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Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

https://github.com/rulixiang/toco

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Token Contrast for Weakly-Supervised Semantic Segmentation

https://github.com/ruxie189/wss_pole

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Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation

https://github.com/shimoda-uec/ssdd

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Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation

https://github.com/shjo-april/DHR

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DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation

https://github.com/shjo-april/mars

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MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation

https://github.com/shjo-april/recurseed_and_edgepredictmix

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RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks

https://github.com/suyukun666/CDA

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Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

https://github.com/twke18/SPML

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Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

https://github.com/tyroneli/esol_wsss

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Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation

https://github.com/tyroneli/ppl_wsss

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Weakly Supervised Semantic Segmentation via Progressive Patch Learning

https://github.com/ucuapps/WSMIS

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Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images

https://github.com/usr922/wseg

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Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast

https://github.com/viorik/ConvLSTM

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Spatio-temporal video autoencoder with differentiable memory

https://github.com/vison307/hisynseg

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HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization

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