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Supporting large-scale image recognition with out-of-domain samples

Supporting large-scale image recognition with out-of-domain samples

4 October 2020
Christof Henkel
Philipp Singer
ArXivPDFHTML

Papers citing "Supporting large-scale image recognition with out-of-domain samples"

5 / 5 papers shown
Title
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training
  in Image Retrieval
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval
Shupeng Su
Binjie Zhang
Yixiao Ge
Xuyuan Xu
Yexin Wang
Chun Yuan
Ying Shan
20
10
0
29 Apr 2022
Google Landmark Retrieval 2021 Competition Third Place Solution
Google Landmark Retrieval 2021 Competition Third Place Solution
Qishen Ha
Bo Liu
Hongwei Zhang
3DV
3DPC
29
2
0
09 Oct 2021
2nd Place Solution to Google Landmark Retrieval 2021
2nd Place Solution to Google Landmark Retrieval 2021
Yuqi Zhang
Xianzhe Xu
Weihua Chen
Yaohua Wang
Fangyi Zhang
Wang Fan
Li Hao
3DPC
3DV
17
8
0
08 Oct 2021
Efficient large-scale image retrieval with deep feature orthogonality
  and Hybrid-Swin-Transformers
Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers
Christof Henkel
32
14
0
07 Oct 2021
3rd Place Solution to Google Landmark Recognition Competition 2021
3rd Place Solution to Google Landmark Recognition Competition 2021
Chengfeng Xu
Weimin Wang
Shuai Liu
Yong Wang
Yuxiang Tang
Tianling Bian
Yanyu Yan
Qi She
Cheng Yang
3DPC
3DV
25
6
0
06 Oct 2021
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