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 91–100 of 142 papers

TitleStatusHype
Weakly Supervised Object Detection With Convex Clustering—0
Weakly Supervised Object Detection with Segmentation Collaboration—0
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks—0
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks—0
Weakly Supervised Open-Vocabulary Object Detection—0
Weakly Supervised Region Proposal Network and Object Detection—0
WSOD2: Learning Bottom-up and Top-down Objectness Distillation forWeakly-supervised Object Detection—0
WSOD with PSNet and Box Regression—0
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection—0
Zigzag Learning for Weakly Supervised Object Detection—0
Show:102550
← PrevPage 10 of 15Next →

No leaderboard results yet.