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Attributable Visual Similarity Learning

Attributable Visual Similarity Learning

28 March 2022
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
ArXivPDFHTML

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
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
113
0
0
19 Jan 2025
Towards Interpretable Deep Metric Learning with Structural Matching
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
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
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
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
Visualizing Deep Similarity Networks
Abby Stylianou
Richard Souvenir
Robert Pless
FAtt
51
56
0
02 Jan 2019
Hard-Aware Point-to-Set Deep Metric for Person Re-identification
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
Attention-based Ensemble for Deep Metric Learning
Wonsik Kim
Bhavya Goyal
Kunal Chawla
Jungmin Lee
Keunjoo Kwon
FedML
71
227
0
02 Apr 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
M. Opitz
Georg Waltner
Horst Possegger
Horst Bischof
FedML
OOD
85
166
0
15 Jan 2018
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
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
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
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
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
95
923
0
23 Jun 2017
Beyond triplet loss: a deep quadruplet network for person
  re-identification
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
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
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
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
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
"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
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
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
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?
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
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,876
0
12 Nov 2013
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