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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 176–200 of 296 papers

TitleStatusHype
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation—0
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation—0
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach—0
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model—0
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation—0
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation—0
P2Seg: Pointly-supervised Segmentation via Mutual Distillation—0
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision—0
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors—0
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation—0
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds—0
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues—0
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery—0
From Image-level to Pixel-level Labeling with Convolutional Networks—0
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation—0
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection—0
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference—0
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation—0
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation—0
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation—0
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class—0
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation—0
Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via Controllable Image Generation—0
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach—0
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