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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 101–150 of 296 papers

TitleStatusHype
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
Extracting Class Activation Maps from Non-Discriminative Features as wellCode1
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical ImagesCode0
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging SystemsCode0
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
Token Contrast for Weakly-Supervised Semantic SegmentationCode1
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic SegmentationCode1
FPR: False Positive Rectification for Weakly Supervised Semantic SegmentationCode1
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak SupervisionCode1
Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation—0
Boundary-Enhanced Co-Training for Weakly Supervised Semantic SegmentationCode1
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and ReconstructorCode1
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization—0
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery—0
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic SegmentationCode2
Weakly Supervised Semantic Segmentation for Large-Scale Point CloudCode1
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation—0
ISIM: Iterative Self-Improved Model for Weakly Supervised SegmentationCode1
Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation—0
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentationCode1
Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection—0
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic SegmentationCode1
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
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Weakly Supervised Semantic Segmentation via Progressive Patch LearningCode0
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic SegmentationCode1
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
Mining Discriminative Food Regions for Accurate Food RecognitionCode1
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic SegmentationCode0
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology ImagesCode1
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
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage FrameworksCode1
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
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic SegmentationCode1
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against ThresholdsCode1
Importance Sampling CAMs for Weakly-Supervised SegmentationCode0
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationCode1
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic SegmentationCode1
WegFormer: Transformers for Weakly Supervised Semantic Segmentation—0
TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic SegmentationCode1
Weakly Supervised Semantic Segmentation using Out-of-Distribution DataCode0
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