Soft Proposal Networks for Weakly Supervised Object Localization
Yi Zhu
,
Yanzhao Zhou
, Qixiang Ye, Qiang Qiu, and Jianbin Jiao
SPN is an end-to-end weakly supervised localization framework.
SPN introduce the nearly cost-free object proposal.
SPN learns better object-centric filters and discover more visual evidence
SPN is compatible with popular architectures (VGG/GoogLeNet etc.)
SPN is an end-to-end weakly supervised localization framework.
Source code and Demo
Paper (arXiv)
Check Yi's Awesome Page for More Resources
Thank you for your interest in our work!
Our paper has been accepted by
ICCV 2017
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