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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 71–80 of 142 papers

TitleStatusHype
Enabling Deep Residual Networks for Weakly Supervised Object Detection—0
Boosting Weakly Supervised Object Detection with Progressive Knowledge TransferCode1
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection—0
Distilling Knowledge from Refinement in Multiple Instance Detection NetworksCode1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object DetectionCode1
Adaptive Object Detection with Dual Multi-Label Prediction—0
Harmonizing Transferability and Discriminability for Adapting Object DetectorsCode1
Learning Object Scale With Click Supervision for Object Detection—0
Object Instance Mining for Weakly Supervised Object DetectionCode1
Weakly Supervised Instance Segmentation by Deep Community Learning—0
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