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Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection [article]

Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
2019 arXiv   pre-print
Our discovery provides an opportunity for learning detection models from noisy but more abundant and freely-available caption data.  ...  However, straightforward approaches to using such data for WSOD wastefully discard captions that do not exactly match object names.  ...  . , y C ] and the detection scoreŝ (k) at k-th iteration using Algorithm 1. Then, it is used to guide the learning of theŝ (k+1) using Eq.5 in the paper.  ... 
arXiv:1907.10164v3 fatcat:qbuq2q3oibbhrbeza6lwzzdppe