SOTAVerified

Weakly Supervised Object Detection

Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions.

( Image credit: Soft Proposal Networks for Weakly Supervised Object Localization )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 142 papers

TitleStatusHype
Negative Prototypes Guided Contrastive Learning for WSOD—0
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data VolumeCode0
Weakly Supervised Open-Vocabulary Object Detection—0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial AnnotationsCode0
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
Gall Bladder Cancer Detection from US Images with Only Image Level LabelsCode0
Anatomy-Driven Pathology Detection on Chest X-raysCode0
Read, look and detect: Bounding box annotation from image-caption pairs—0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
Show:102550
← PrevPage 5 of 15Next →

No leaderboard results yet.