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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
Pseudo-Label Generation-Evaluation Framework For Cross Domain Weakly Supervised Object Detection—0
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images—0
CaT: Weakly Supervised Object Detection with Category TransferCode0
Boosting Weakly Supervised Object Detection via Learning Bounding Box AdjustersCode1
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation—0
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection—0
Salvage of Supervision in Weakly Supervised Object Detection—0
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey—0
Self-supervised object detection from audio-visual correspondence—0
Two-phase weakly supervised object detection with pseudo ground truth mining—0
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