Update Auto-ReID

README.md

@@ -5,6 +5,7 @@ This project contains the following neural architecture search algorithms, imple
 - Network Pruning via Transformable Architecture Search, NeurIPS 2019
 - One-Shot Neural Architecture Search via Self-Evaluated Template Network, ICCV 2019
 - Searching for A Robust Neural Architecture in Four GPU Hours, CVPR 2019
+- Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification, ICCV 2019
 
 
 ## Requirements and Preparation
@@ -90,6 +91,12 @@ CUDA_VISIBLE_DEVICES=0,1,2,3 bash ./scripts/nas-infer-train.sh imagenet-1k GDAS_
 Searching codes come soon! A small example forward code segment for searching can be found in [this issue](https://github.com/D-X-Y/NAS-Projects/issues/12).
 
 
+## [Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification](https://arxiv.org/abs/1903.09776)
+
+The part-aware module is defined at [here](https://github.com/D-X-Y/NAS-Projects/blob/master/lib/models/cell_searchs/operations.py#L85).
+
+For more questions, please contact Ruijie Quan (Ruijie.Quan@student.uts.edu.au).
+
 # Citation
 
 If you find that this project helps your research, please consider citing some of the following papers: