In this tutorial we cover Faster R-CNN for object detection. Its an attempt to provide in-depth faster rcnn explanation. The video covers what is faster rcnn, how faster rcnn training works and we also dive deep into its architecture. We start with difference between fast rcnn and faster rcnn , understand anchor boxes and region proposal networks (RPNs) step by step, the two main components of faster rcnn architecture, and finally look into the performance we get for object detection using faster r-cnn.
⏱️ Timestamps
00:00 Intro
00:28 Need for Faster R-CNN
02:41 Region proposal network (RPN) in Faster RCNN
06:28 Anchor Boxes in Faster RCNN
09:57 Anchors to Proposals in Region Proposal Network
12:58 RPN + Fast R-CNN
14:17 Training Region Proposal Network
19:53 Why have both RPN and Fast RCNN
22:18 Joint Training of Faster R-CNN
25:23 Alternate Training of Faster RCNN
27:58 Results for Object Detection Using Faster R-CNN
38:15 Difference between rcnn, fast rcnn and faster rcnn
40:34 Outro
📖 Resources:
Faster R-CNN Paper - [ Ссылка ]
🔔 Subscribe :
[ Ссылка ]
Background Track - Fruits of Life by Jimena Contreras
Email - explainingai.official@gmail.com
Faster R-CNN Explanation | Region Proposal Network
Теги
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