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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 276–296 of 296 papers

TitleStatusHype
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency RegularizationCode0
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide ImagesCode0
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic SegmentationCode0
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic SegmentationCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical ImagesCode0
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region GrowingCode0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
Fully Convolutional Multi-Class Multiple Instance LearningCode0
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion ModelsCode0
Fine-grained Background Representation for Weakly Supervised Semantic SegmentationCode0
Weakly Supervised Semantic Segmentation via Progressive Confidence Region ExpansionCode0
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image DomainsCode0
SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver TumoursCode0
FFR: Frequency Feature Rectification for Weakly Supervised Semantic SegmentationCode0
Spatio-temporal video autoencoder with differentiable memoryCode0
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid PoolingCode0
Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic SegmentationCode0
Bootstrapping the Performance of Webly Supervised Semantic SegmentationCode0
STC: A Simple to Complex Framework for Weakly-supervised Semantic SegmentationCode0
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging SystemsCode0
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