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There are already newer versions, Yolov2 and DSSD. See http://github.com/sbrugman/deep-learning-papers

In practice Faster R-CNN worked better for me than YOLOv2 as it, in contrast to what is reported in the paper, had a higher recall for the detect task I used it for.

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"Speed/accuracy trade-offs for modern convolutional object detectors" seems to establish that Faster R-CNN beats R-FCN and SSD-type architectures in accuracy, however YOLOv2 can beat Faster R-CNN and R-FCN in speed, while retaining high accuracy.

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