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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

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Showing 31–40 of 142 papers

TitleStatusHype
PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionCode1
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain AdaptationCode1
Multiple Instance Detection Network with Online Instance Classifier RefinementCode1
Class Agnostic Instance-level Descriptor for Visual Instance Search—0
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection—0
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion—0
Weakly Supervised Object Detection for Automatic Tooth-marked Tongue RecognitionCode0
Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical videoCode0
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object DetectionCode0
Smart Feature is What You NeedCode0
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