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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 91–100 of 142 papers

TitleStatusHype
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection—0
Collaborative Learning for Weakly Supervised Object Detection—0
Compositional Mixture Representations for Vision and Text—0
Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection—0
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation—0
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey—0
Deep Self-Taught Learning for Weakly Supervised Object Localization—0
DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection—0
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection—0
Dissimilarity Coefficient based Weakly Supervised Object Detection—0
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