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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 101–125 of 296 papers

TitleStatusHype
Weakly Supervised Semantic Segmentation with Boundary ExplorationCode1
Mining Cross-Image Semantics for Weakly Supervised Semantic SegmentationCode1
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray ImagesCode1
Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic SegmentationCode1
Masked Based Unsupervised Content TransferCode1
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic SegmentationCode1
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and OpportunitiesCode1
Mask Based Unsupervised Content TransferCode1
Weakly Supervised Learning of Instance Segmentation with Inter-pixel RelationsCode1
Weakly- and Semi-Supervised Panoptic SegmentationCode1
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic SegmentationCode1
SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver TumoursCode0
Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic SegmentationCode0
DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation MapsCode0
Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images—0
Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation—0
FFR: Frequency Feature Rectification for Weakly Supervised Semantic SegmentationCode0
Weakly Supervised Semantic Segmentation via Progressive Confidence Region ExpansionCode0
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency RegularizationCode0
Image Augmentation Agent for Weakly Supervised Semantic Segmentation—0
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP—0
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation—0
A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT SegmentationCode0
Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via Controllable Image Generation—0
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation—0
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