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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/clovaai/BESTIE

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Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

https://github.com/clovaai/wsss-bed

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Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation

https://github.com/cskyl/sam_wsss

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Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation

https://github.com/cvi-szu/clims

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Cross Language Image Matching for Weakly Supervised Semantic Segmentation

https://github.com/cvi-szu/qa-clims

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Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation

https://github.com/deepplants/vit-pcm

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Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation

https://github.com/developfeng/BCM

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Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation

https://github.com/dmcv-ecnu/MindSpore_ModelZoo

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Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

https://github.com/dmytro-shvetsov/counterfactual-search

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COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images

https://github.com/eli-yili/pmm

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Pseudo-mask Matters in Weakly-supervised Semantic Segmentation

https://github.com/engineerJPark/ORANDNet

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Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation

https://github.com/erikostrowski/automated_ensemble

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Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems

https://github.com/fcdl94/MiB

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Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation

https://github.com/fwu11/mcc

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Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation

https://github.com/gaviotas/amn

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Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds

https://github.com/gramuah/weakly-supervised-segmentation

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Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation

https://github.com/huodongjian0603/crt

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Dual Progressive Transformations for Weakly Supervised Semantic Segmentation

https://github.com/hustvl/weaktr

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WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation

https://github.com/jbeomlee93/AdvCAM

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Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

https://github.com/jbeomlee93/BBAM

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BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

https://github.com/jbeomlee93/rib

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Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

https://github.com/jessie459/feature-self-reinforcement

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Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation

https://github.com/jia-zhang666/grm_layer

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Weakly Supervised Semantic Segmentation by Knowledge Graph Inference

https://github.com/jianing-qiu/parnet

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Mining Discriminative Food Regions for Accurate Food Recognition

https://github.com/jieqin-ai/amr

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Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation

https://github.com/jiwoon-ahn/psa

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Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation

https://github.com/jlchen-c/semformer

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SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation

https://github.com/js-fan/CIAN

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CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation

https://github.com/k0u-id/carb

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Weakly Supervised Semantic Segmentation for Driving Scenes

https://github.com/kangningthu/adele

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Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

https://github.com/linjiatai/broadcam

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BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications

https://github.com/linyq2117/clip-es

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CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation

https://github.com/linyq2117/tagclip

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TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training

https://github.com/liruiwen/transcam

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TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation

https://github.com/lizhuohong/paraformer

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Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels

https://github.com/luffy03/agmm-sass

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Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation

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