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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 131–140 of 142 papers

TitleStatusHype
SESS: Saliency Enhancing with Scaling and SlidingCode0
Gall Bladder Cancer Detection from US Images with Only Image Level LabelsCode0
CaT: Weakly Supervised Object Detection with Category TransferCode0
Smart Feature is What You NeedCode0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data VolumeCode0
A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial AnnotationsCode0
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised LocalizationCode0
Variational Bayesian Multiple Instance Learning With Gaussian ProcessesCode0
Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical videoCode0
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