From d5c2e54e4322d4a4d58735e89de6d7c734360287 Mon Sep 17 00:00:00 2001 From: zhun zhong Date: Fri, 5 May 2017 13:01:03 +0800 Subject: [PATCH] Update README.md --- README.md | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d01c311..8dc500a 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ ### This code has the source code for the paper "Re-ranking Person Re-identification with k-reciprocal Encoding". Including: 1. IDE baseline 2. Re-ranking code -3. The CUHK03 new training/testing protocol +3. CUHK03 new training/testing protocol If you find this code useful in your research, please consider citing: @@ -101,14 +101,16 @@ You can download our pre-trained IDE models and IDE features, and put them in th - IDE features [[Baiduyun]](https://pan.baidu.com/s/1c1TtKcw) [[Google drive]](https://drive.google.com/open?id=0B7TOZKXmIjU3ODhaRm8yN2QzRHc) -Using the above IDE models and IDE features, you can reproduce the results as follows: +Using the above IDE models and IDE features, you can reproduce the results with our re-ranking method as follows: - Market-1501 |Methods |   Rank@1 | mAP| | -------- | ----- | ---- | |IDE_ResNet_50 + Euclidean | 78.92% | 55.03%| +|IDE_ResNet_50 + Euclidean + re-ranking | 81.44% | 70.39%| |IDE_ResNet_50 + XQDA | 77.58% | 56.06%| +|IDE_ResNet_50 + XQDA + re-ranking | 80.70% | 69.98%| For Market-1501, these results are better than those reported in our paper, since we add a dropout = 0.5 layer after pool5. @@ -118,10 +120,15 @@ For Market-1501, these results are better than those reported in our paper, sinc | -------| ----- | ---- |---- |---- | |Methods | Rank@1 | mAP| Rank@1 | mAP| |LOMO + XQDA | 14.8% | 13.6%|12.8% | 11.5%| +|LOMO + XQDA + re-ranking | 19.1% | 20.8%|16.6% | 17.8%| |IDE_CaffeNet + Euclidean | 15.6% | 14.9%| 15.1% | 14.2%| +|IDE_CaffeNet + Euclidean + re-ranking | 19.1% | 21.3%|19.3% | 20.6%| |IDE_CaffeNet + XQDA | 21.9% | 20.0%|21.1% | 19.0%| +|IDE_CaffeNet + XQDA + re-ranking | 25.9% | 27.8%|26.4% | 26.9%| |IDE_ResNet_50 + Euclidean | 22.2% | 21.0%|21.3% | 19.7%| +|IDE_ResNet_50 + Euclidean + re-ranking | 26.6% | 28.9%|24.9% | 27.3%| |IDE_ResNet_50 + XQDA | 32.0% | 29.6%|31.1% | 28.2%| +|IDE_ResNet_50 + XQDA + re-ranking | 38.1% | 40.3%|34.7% | 37.4%| ### Contact us