Deep Learning - Segmentation and Object Detection Part 3

In this video, we start looking into object detection. We start with classical ideas, re-visit the concept of a fully convolutional neural network, and start developing a fast regional CNN detector which finally leads to Faster RCNN.

Additional References
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

Video References:
Tensorflow Object Detection
Household Object Detection
Pikachu Detector

Further Reading:
A gentle Introduction to Deep Learning