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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/weixuansun/infercam

공식 코드

Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation

https://github.com/weixuansun/wsss_sam

공식 코드

An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems

https://github.com/windstormer/Cfd-CAM

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A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation

https://github.com/windstormer/ame-cam

공식 코드

AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor

https://github.com/wpy1999/bas-extension

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Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation

https://github.com/wu0409/dupl

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DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation

https://github.com/xhu248/cond_ddpm_wsss

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Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation

https://github.com/xmed-lab/oeem

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Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

https://github.com/xmed-lab/urn

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Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation

https://github.com/xulianuwa/AuxSegNet

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Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation

https://github.com/xulianuwa/mctformer

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Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

https://github.com/xuxiaoxxxx/3DSS-VLG

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3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

https://github.com/yangjiaqidig/WSSS-AGM

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A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT Segmentation

https://github.com/yaoqi-zd/SGAN

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Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation

https://github.com/youshyee/cosa

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Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation

https://github.com/zbf1991/A2GNN

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Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

https://github.com/zbf1991/RRM

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Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

https://github.com/zbf1991/weclip

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Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation

https://github.com/zengxianyu/jsws

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Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation

https://github.com/zhaozhengchen/lpcam

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Extracting Class Activation Maps from Non-Discriminative Features as well

https://github.com/zhaozhengchen/recam

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Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation

https://github.com/zhaozhengchen/sam_wsss

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Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models

https://github.com/zwyang6/ExCEL

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Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation

https://github.com/zwyang6/more

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MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation

https://github.com/zwyang6/seco

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Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation

https://github.com/zwyang6/unia

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Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

https://github.com/zxl19990529/class-driven-scribble-promotion-network

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Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label

https://github.com/zxl19990529/csp-net

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Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation

https://github.com/zxl19990529/scribblesimulation

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Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation

https://github.com/2023-MindSpore-1/ms-code-112

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

https://github.com/Ahmadreza-Jeddi/rloss

Constrained-CNN losses for weakly supervised segmentation

https://github.com/DCVL-WSSS/ClusterCAM

https://github.com/IE-group/conference_report

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

https://github.com/MindCode-4/code-13/tree/main/weakly-supervised

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

https://github.com/MindCode-4/code-9/tree/main/weakly-supervised

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

https://github.com/MindSpore-scientific-2/code-3/tree/main/weakly-supervised

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

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