YOLO -- You only look 10647 times. (arXiv:2201.06159v2 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2201.06159

With this work we are explaining the "You Only Look Once" (YOLO) single-stage
object detection approach as a parallel classification of 10647 fixed region
proposals. We support this view by showing that each of YOLOs output pixel is
attentive to a specific sub-region of previous layers, comparable to a local
region proposal. This understanding reduces the conceptual gap between
YOLO-like single-stage object detection models, RCNN-like two-stage region
proposal based models, and ResNet-like image classification models. In
addition, we created interactive …

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