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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

Showing 226250 of 296 papers

TitleStatusHype
Weakly Supervised Semantic Segmentation using Web-Crawled Videos0
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets0
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching0
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information0
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary0
Webly Supervised Semantic Segmentation0
WegFormer: Transformers for Weakly Supervised Semantic Segmentation0
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma0
0-1 laws for pattern occurrences in phylogenetic trees and networks0
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic SegmentationCode0
DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation MapsCode0
Weakly Supervised Semantic Segmentation using Out-of-Distribution DataCode0
Discovering Class-Specific Pixels for Weakly-Supervised Semantic SegmentationCode0
Coupling Global Context and Local Contents for Weakly-Supervised Semantic SegmentationCode0
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic SegmentationCode0
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation ModelsCode0
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain LabelsCode0
A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT SegmentationCode0
Towards Single Stage Weakly Supervised Semantic SegmentationCode0
Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic SegmentationCode0
All-pairs Consistency Learning for Weakly Supervised Semantic SegmentationCode0
Weakly Supervised Semantic Segmentation via Progressive Patch LearningCode0
Constrained-CNN losses for weakly supervised segmentationCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
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