R-FCN: Object Detection via Region-based Fully Convolutional Networks

NeurIPS 2016 Jifeng DaiYi LiKaiming HeJian Sun

We present region-based, fully convolutional networks for accurate and efficient object detection. In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, our region-based detector is fully convolutional with almost all computation shared on the entire image... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Object Detection PASCAL VOC 2007 R-FCN MAP 80.5% # 9
Real-Time Object Detection PASCAL VOC 2007 R-FCN MAP 80.5% # 2
FPS 9 # 4

Methods used in the Paper