Accurate Single Stage Detector Using Recurrent Rolling Convolution

CVPR 2017 Jimmy RenXiaohao ChenJianbo LiuWenxiu SunJiahao PangQiong YanYu-Wing TaiLi Xu

Most of the recent successful methods in accurate object detection and localization used some variants of R-CNN style two stage Convolutional Neural Networks (CNN) where plausible regions were proposed in the first stage then followed by a second stage for decision refinement. Despite the simplicity of training and the efficiency in deployment, the single stage detection methods have not been as competitive when evaluated in benchmarks consider mAP for high IoU thresholds... (read more)

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