Fast R-CNN: Revision history

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17 December 2023

  • curprev 09:4809:48, 17 December 2023‎ Ai talk contribs‎ 3,470 bytes +3,470‎ Created page with "== Overview == Fast R-CNN is a convolutional neural network (CNN) based object detection algorithm. It was proposed by Ross Girshick in 2015 as an improvement over the previous R-CNN and SPP-net algorithms. Fast R-CNN addresses some of the key issues in its predecessors, such as training speed, detection speed, and the need for disk storage during training. Image:Detail-57824.jpg|thumb|center|A visual representation of the Fast R-CNN..."
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