SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 261–270 of 296 papers

TitleStatusHype
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features—0
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty—0
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning—0
Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation—0
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation for Social Images—0
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation—0
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes—0
Weakly Supervised Semantic Segmentation of Satellite Images—0
Show:102550
← PrevPage 27 of 30Next →

No leaderboard results yet.