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 176–200 of 296 papers

TitleStatusHype
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization—0
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation—0
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation—0
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation—0
Neural Diffusion Distance for Image 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
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
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds—0
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation—0
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class—0
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise—0
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation—0
Semantic Component Analysis—0
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network—0
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation—0
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network—0
SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation—0
Small Objects Matters in Weakly-supervised Semantic Segmentation—0
Show:102550
← PrevPage 8 of 12Next →

No leaderboard results yet.