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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 51–60 of 142 papers

TitleStatusHype
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised LocalizationCode0
Self Paced Deep Learning for Weakly Supervised Object DetectionCode0
Smart Feature is What You NeedCode0
LoANs: Weakly Supervised Object Detection with Localizer Assessor NetworksCode0
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm LocalizationCode0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial AnnotationsCode0
Weakly Supervised Object Detection for Automatic Tooth-marked Tongue RecognitionCode0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object DetectionCode0
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