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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 121–130 of 142 papers

TitleStatusHype
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN—0
Optimizing Region Selection for Weakly Supervised Object Detection—0
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection—0
Exploiting Web Images for Weakly Supervised Object Detection—0
Variational Bayesian Multiple Instance Learning With Gaussian ProcessesCode0
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and SegmentationCode0
Saliency Guided End-to-End Learning for Weakly Supervised Object Detection—0
Deep Self-Taught Learning for Weakly Supervised Object Localization—0
Multiple Instance Detection Network with Online Instance Classifier RefinementCode1
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning—0
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