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Weakly-Supervised Semantic Segmentation

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.

( Image credit: Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing )

Papers

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Showing 176–200 of 296 papers

TitleStatusHype
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical ImagesCode0
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation—0
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation—0
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization—0
Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation—0
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery—0
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation—0
Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection—0
SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation—0
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation—0
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain LabelsCode0
Weakly Supervised Semantic Segmentation via Progressive Patch LearningCode0
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation—0
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes—0
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation—0
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic SegmentationCode0
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference—0
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model—0
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma—0
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Importance Sampling CAMs for Weakly-Supervised SegmentationCode0
WegFormer: Transformers for Weakly Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation using Out-of-Distribution DataCode0
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