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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
Object-Aware Instance Labeling for Weakly Supervised Object Detection—0
Utilizing the Instability in Weakly Supervised Object Detection—0
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks—0
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection—0
Cyclic Guidance for Weakly Supervised Joint Detection and SegmentationCode0
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm LocalizationCode0
Universal Bounding Box Regression and Its Applications—0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
Activity Driven Weakly Supervised Object Detection—0
Weakly Supervised Object Detection with Segmentation Collaboration—0
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