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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 201–225 of 296 papers

TitleStatusHype
Discriminative Region Suppression for Weakly-Supervised Semantic SegmentationCode1
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic SegmentationCode1
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue GraphsCode1
Context Decoupling Augmentation for Weakly Supervised Semantic SegmentationCode1
Puzzle-CAM: Improved localization via matching partial and full featuresCode1
Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic SegmentationCode1
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps—0
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image—0
Group-Wise Semantic Mining for Weakly Supervised Semantic SegmentationCode1
3D Guided Weakly Supervised Semantic Segmentation—0
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic SegmentationCode1
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection—0
LID 2020: The Learning from Imperfect Data Challenge Results—0
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels—0
Causal Intervention for Weakly-Supervised Semantic Segmentation—0
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance SegmentationCode1
Weakly-Supervised Semantic Segmentation via Sub-category ExplorationCode1
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization—0
Weakly Supervised Semantic Segmentation with Boundary ExplorationCode1
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation—0
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation—0
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network—0
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision—0
Mining Cross-Image Semantics for Weakly Supervised Semantic SegmentationCode1
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray ImagesCode1
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