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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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Object Detection PASCAL VOC 2007 R-FCN MAP 80.5% # 6
Real-Time Object Detection PASCAL VOC 2007 R-FCN MAP 80.5% # 2
Real-Time Object Detection PASCAL VOC 2007 R-FCN FPS 9 # 5