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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 151–200 of 296 papers

TitleStatusHype
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation—0
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation—0
COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation—0
Small Objects Matters in Weakly-supervised Semantic Segmentation—0
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion ModelsCode0
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised ApplicationsCode0
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation—0
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images—0
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation—0
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation—0
All-pairs Consistency Learning for Weakly Supervised Semantic SegmentationCode0
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise—0
CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics—0
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors—0
Masked Collaborative Contrast for Weakly Supervised Semantic SegmentationCode0
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic SegmentationCode0
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationCode0
Mitigating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation—0
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation—0
Coupling Global Context and Local Contents for Weakly-Supervised Semantic SegmentationCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
Removing supervision in semantic segmentation with local-global matching and area balancingCode0
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic SegmentationCode0
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging SystemsCode0
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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