Deep Person Re-Identification
Date:
Description: Retrieve image of a particular person through multiple cameras, input an image and query images in the data of surveillance devices.
Training with a baseline model (Resnet-50).
Implements 6 training tricks to improve accuracy (warmup learning rate, random erasing augmentation, label smoothing, Last stride, BN Neck, center loss) and compare with SOTA.