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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 11–20 of 142 papers

TitleStatusHype
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI PoolingCode1
Weakly Supervised Open-Vocabulary Object Detection—0
LEOD: Label-Efficient Object Detection for Event CamerasCode1
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
Text-image Alignment for Diffusion-based PerceptionCode1
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
PDL: Regularizing Multiple Instance Learning with Progressive Dropout LayersCode1
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