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Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection. (arXiv:2110.07511v3 [cs.CV] UPDATED)
Oct. 20, 2022, 1:16 a.m. | Pei Lv, Suqi Hu, Tianran Hao
cs.CV updates on arXiv.org arxiv.org
Weakly supervised object detection (WSOD) has attracted more and more
attention since it only uses image-level labels and can save huge annotation
costs. Most of the WSOD methods use Multiple Instance Learning (MIL) as their
basic framework, which regard it as an instance classification problem.
However, these methods based on MIL tends to converge only on the most
discriminate regions of different instances, rather than their corresponding
complete regions, that is, insufficient integrity. Inspired by the habit of
observing things …
More from arxiv.org / cs.CV updates on arXiv.org
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