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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 121–130 of 142 papers

TitleStatusHype
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom UpCode0
Weakly Supervised Deep Detection NetworksCode0
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object DetectionCode0
Anatomy-Driven Pathology Detection on Chest X-raysCode0
LoANs: Weakly Supervised Object Detection with Localizer Assessor NetworksCode0
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
Self Paced Deep Learning for Weakly Supervised Object DetectionCode0
Weakly Supervised Object Detection for Automatic Tooth-marked Tongue RecognitionCode0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object DetectionCode0
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