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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 26–50 of 296 papers

TitleStatusHype
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic SegmentationCode1
Background Activation Suppression for Weakly Supervised Object Localization and Semantic SegmentationCode1
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic SegmentationCode1
Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic SegmentationCode1
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance SegmentationCode1
Group-Wise Learning for Weakly Supervised Semantic SegmentationCode1
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment AnythingCode1
Boundary-Enhanced Co-Training for Weakly Supervised Semantic SegmentationCode1
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic SegmentationCode1
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic SegmentationCode1
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic SegmentationCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic SegmentationCode1
Complementary Patch for Weakly Supervised Semantic SegmentationCode1
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceCode1
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event CamerasCode1
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic SegmentationCode1
Discriminative Region Suppression for Weakly-Supervised Semantic SegmentationCode1
Context Decoupling Augmentation for Weakly Supervised Semantic SegmentationCode1
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak SupervisionCode1
Class Re-Activation Maps for Weakly-Supervised Semantic SegmentationCode1
Class Tokens Infusion for Weakly Supervised Semantic SegmentationCode1
Hierarchical Semantic Contrast for Weakly Supervised Semantic SegmentationCode1
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation ProblemsCode1
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