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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
Active Learning Strategies for Weakly-supervised Object DetectionCode1
Distilling Knowledge from Refinement in Multiple Instance Detection NetworksCode1
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution AlignmentCode1
Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical videoCode0
Anatomy-Driven Pathology Detection on Chest X-raysCode0
Self Paced Deep Learning for Weakly Supervised Object DetectionCode0
CaT: Weakly Supervised Object Detection with Category TransferCode0
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm LocalizationCode0
Cyclic Guidance for Weakly Supervised Joint Detection and SegmentationCode0
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
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