CVPR2019 Metric Learning、Embedding、Retrieval 相关论文阅读及整理

栏目: 编程工具 · 发布时间: 7年前

Paper List

  1. A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
  2. End-to-End Supervised Product Quantization for Image Search and Retrieval
  3. Ranked List Loss for Deep Metric Learning
  4. On Learning Density Aware Embeddings
  5. Stochastic Class-based Hard Example Mining for Deep Metric Learning
  6. Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
  7. Deep Metric Learning to Rank
  8. Learning Metrics from Teachers: Compact Networks for Image Embedding
  9. Deep Embedding Learning with Discriminative Sampling Policy
  10. Divide and Conquer the Embedding Space for Metric Learning
  11. Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
  12. Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
  13. Deep Asymmetric Metric Learning via Rich Relationship Mining
  14. Hardness-Aware Deep Metric Learning

数据集及评价指标:

CUB-200-2011

Method R@1 R@2 R@4 R@8
1. Discriminative 51.43 64.23 74.31 82.83
3.RLL-(L,M,H) 61.3 72.7 82.7 89.4
5.SCHE 66.2 76.3 84.1 90.1
6.MS 65.7 77.0 86.3 91.2
9. DE-DSP (N-pair) 53.6 65.5 76.9 -
10. DCES 65.9 76.6 84.4 90.6
12. DSML 51.6 54.9 - -
13. RRM 55.1 66.5 76.8 85.3
14. HDML 53.7 65.7 76.7 85.7

CAR196

Method R@1 R@2 R@4 R@8
1. Discriminative 68.31 78.21 85.22 91.18
3.RLL-(L,M,H) 82.1 89.3 93.7 96.7
5.SCHE 91.7 95.3 97.3 98.4
6.MS 84.1 90.4 94.0 96.5
9. DE-DSP (N-pair) 72.9 81.6 88.8 -
10. DCES 84.6 90.7 94.1 96.5
12. DSML 49.1 52.4 - -
13. RRM 73.5 82.6 89.1 93.5
14. HDML 79.1 87.1 92.1 95.5

SOP

Method R@1 R@10 R@100
3.RLL-(L,M,H) 79.8 91.3 96.3
5.SCHE 77.6 89.1 94.7
6.MS 78.2 90.5 96.0
7.FastAP 75.8 89.1 95.4
9. DE-DSP (N-pair) 68.9 84.0 92.6
10. DCES 75.9 88.4 94.9
13. RRM 69.7 85.2 93.2
14. HDML 68.7 83.2 92.4

In-shop

Method R@1 R@10 R@20 R@30
5.SCHE 91.9 98.0 98.7 99.0
6.MS 89.7 97.9 98.5 98.8
7.FastAP 90.9 97.7 98.5 98.8
9. DE-DSP (N-pair) 78.6 93.8 95.5 96.2
10. DCES 85.7 95.5 96.9 97.5

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网

查看所有标签

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们

High Performance JavaScript

High Performance JavaScript

Nicholas C. Zakas / O'Reilly Media / 2010-4-2 / USD 34.99

If you're like most developers, you rely heavily on JavaScript to build interactive and quick-responding web applications. The problem is that all of those lines of JavaScript code can slow down your ......一起来看看 《High Performance JavaScript》 这本书的介绍吧!

HTML 编码/解码
HTML 编码/解码

HTML 编码/解码

Base64 编码/解码
Base64 编码/解码

Base64 编码/解码

URL 编码/解码
URL 编码/解码

URL 编码/解码