Faster R-CNN
Code has been made publicly available. Shaoqing Ren, et al., "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" https://arxiv.org/abs/1506.01497 物体検出タスクにおいて、2つのネットワーク(RPNとFast R-CNN)で特徴…
In ILSVRC and COCO 2015 competitions, Faster R-CNN and RPN are the foundations of the 1st-place winning entries in several tracks. Shaoqing Ren, et al., "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" https…
For the very deep VGG-16 model, our detection system has a frame rate of 5fps (including all steps) on a GPU, while achieving state-of-the-art object detection accuracy on PASCAL VOC 2007, 2012, and MS COCO datasets with only 300 proposals…
We further merge RPN and Fast R-CNN into a single network by sharing their convolutional features—using the recently popular terminology of neural networks with “attention” mechanisms, the RPN component tells the unified network where to l…
The RPN is trained end-to-end to generate high-quality region proposals, which are used by Fast R-CNN for detection. Shaoqing Ren, et al., "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" https://arxiv.org/a…
An RPN is a fully convolutional network that simultaneously predicts object bounds and objectness scores at each position. Shaoqing Ren, et al., "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" https://arxiv…
In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals. Shaoqing Ren, et al., "Faster R-CNN: Towards Real-Time Ob…
Advances like SPPnet and Fast R-CNN have reduced the running time of these detection networks, exposing region proposal computation as a bottleneck. Shaoqing Ren, et al., "Faster R-CNN: Towards Real-Time Object Detection with Region Propos…
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Shaoqing Ren, et al., "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" https://arxiv.org/abs/1…
