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2203.14932
Cited By
Attributable Visual Similarity Learning
28 March 2022
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
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Papers citing
"Attributable Visual Similarity Learning"
24 / 24 papers shown
Title
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Zhipeng Yu
Qianqian Xu
Yangbangyan Jiang
Yingfei Sun
Qingming Huang
NoLa
107
0
0
19 Jan 2025
Towards Interpretable Deep Metric Learning with Structural Matching
Wenliang Zhao
Yongming Rao
Ziyi Wang
Jiwen Lu
Jie Zhou
FedML
54
47
0
12 Aug 2021
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun
Changmao Cheng
Yuhan Zhang
Chi Zhang
Liang Zheng
Zhongdao Wang
Yichen Wei
86
857
0
25 Feb 2020
Visual Explanation for Deep Metric Learning
Sijie Zhu
Taojiannan Yang
Chong Chen
FAtt
64
34
0
27 Sep 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
Qi Qian
Lei Shang
Baigui Sun
Juhua Hu
Hao Li
Rong Jin
57
374
0
11 Sep 2019
Visualizing Deep Similarity Networks
Abby Stylianou
Richard Souvenir
Robert Pless
FAtt
49
56
0
02 Jan 2019
Hard-Aware Point-to-Set Deep Metric for Person Re-identification
Rui Yu
Zhiyong Dou
S. Bai
Zhaoxiang Zhang
Yongchao Xu
X. Bai
61
139
0
30 Jul 2018
Attention-based Ensemble for Deep Metric Learning
Wonsik Kim
Bhavya Goyal
Kunal Chawla
Jungmin Lee
Keunjoo Kwon
FedML
68
227
0
02 Apr 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
M. Opitz
Georg Waltner
Horst Possegger
Horst Bischof
FedML
OOD
83
166
0
15 Jan 2018
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu
M. C. Hughes
S. Parbhoo
Maurizio Zazzi
Volker Roth
Finale Doshi-Velez
AI4CE
117
283
0
16 Nov 2017
Interpretable Convolutional Neural Networks
Quanshi Zhang
Ying Nian Wu
Song-Chun Zhu
FAtt
64
781
0
02 Oct 2017
Interpreting CNN Knowledge via an Explanatory Graph
Quanshi Zhang
Ruiming Cao
Feng Shi
Ying Nian Wu
Song-Chun Zhu
FAtt
GNN
SSL
56
242
0
05 Aug 2017
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
92
923
0
23 Jun 2017
Beyond triplet loss: a deep quadruplet network for person re-identification
Weihua Chen
Xiaotang Chen
Jianguo Zhang
Kaiqi Huang
82
1,140
0
06 Apr 2017
Smart Mining for Deep Metric Learning
Ben Harwood
B. V. Kumar
G. Carneiro
Ian Reid
Tom Drummond
57
350
0
05 Apr 2017
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
DML
78
3,205
0
22 Mar 2017
No Fuss Distance Metric Learning using Proxies
Yair Movshovitz-Attias
Alexander Toshev
Thomas Leung
Sergey Ioffe
Saurabh Singh
85
641
0
21 Mar 2017
Hard-Aware Deeply Cascaded Embedding
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
91
302
0
17 Nov 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.2K
16,976
0
16 Feb 2016
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,308
0
14 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedML
SSL
DML
94
1,643
0
19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
370
13,143
0
12 Mar 2015
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
231
8,336
0
06 Nov 2014
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
591
15,876
0
12 Nov 2013
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