Скачать с ютуб Faster R-CNN Explanation | Region Proposal Network в хорошем качестве

Faster R-CNN Explanation | Region Proposal Network

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 - https://tinyurl.com/exai-faster-rcnn-... 🔔 Subscribe : https://tinyurl.com/exai-channel-link Background Track - Fruits of Life by Jimena Contreras Email - [email protected]