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Learning Compatible Embeddings

Learning Compatible Embeddings

4 August 2021
Qiang Meng
Chixiang Zhang
Xiaoqiang Xu
F. Zhou
    VLM
ArXivPDFHTML

Papers citing "Learning Compatible Embeddings"

24 / 24 papers shown
Title
MagFace: A Universal Representation for Face Recognition and Quality
  Assessment
MagFace: A Universal Representation for Face Recognition and Quality Assessment
Qiang Meng
Shichao Zhao
Zhida Huang
F. Zhou
CVBM
66
490
0
11 Mar 2021
Matching Guided Distillation
Matching Guided Distillation
Kaiyu Yue
Jiangfan Deng
Feng Zhou
49
49
0
23 Aug 2020
Unified Representation Learning for Cross Model Compatibility
Unified Representation Learning for Cross Model Compatibility
Chien-Yi Wang
Ya-Liang Chang
Shang-Ta Yang
Dong Chen
S. Lai
CVBM
56
29
0
11 Aug 2020
Appearance-Preserving 3D Convolution for Video-based Person
  Re-identification
Appearance-Preserving 3D Convolution for Video-based Person Re-identification
Xinqian Gu
Hong Chang
Bingpeng Ma
Hongkai Zhang
Xilin Chen
3DH
3DPC
54
137
0
16 Jul 2020
Towards Backward-Compatible Representation Learning
Towards Backward-Compatible Representation Learning
Yantao Shen
Yuanjun Xiong
Wei Xia
Stefano Soatto
58
81
0
26 Mar 2020
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
177
4,448
0
07 Nov 2019
Correlation Congruence for Knowledge Distillation
Correlation Congruence for Knowledge Distillation
Baoyun Peng
Xiao Jin
Jiaheng Liu
Shunfeng Zhou
Yichao Wu
Yu Liu
Dongsheng Li
Zhaoning Zhang
86
512
0
03 Apr 2019
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
36
1,471
0
11 Oct 2018
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification
  on Mobile Devices
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
Sheng Chen
Yang Liu
Xiang Gao
Zhen Han
CVBM
3DH
77
562
0
20 Apr 2018
Features for Multi-Target Multi-Camera Tracking and Re-Identification
Features for Multi-Target Multi-Camera Tracking and Re-Identification
Ergys Ristani
Carlo Tomasi
VOT
79
519
0
28 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
228
3,463
0
09 Mar 2018
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a
  Strong Convolutional Baseline)
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
Yifan Sun
Liang Zheng
Yi Yang
Q. Tian
Shengjin Wang
133
2,176
0
26 Nov 2017
Rocket Launching: A Universal and Efficient Framework for Training
  Well-performing Light Net
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net
Guorui Zhou
Ying Fan
Runpeng Cui
Weijie Bian
Xiaoqiang Zhu
Kun Gai
68
116
0
14 Aug 2017
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jing Zhang
W. Li
P. Ogunbona
46
500
0
16 May 2017
NormFace: L2 Hypersphere Embedding for Face Verification
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang
Xiang Xiang
Jian Cheng
Alan Yuille
3DH
CVBM
63
745
0
21 Apr 2017
L2-constrained Softmax Loss for Discriminative Face Verification
L2-constrained Softmax Loss for Discriminative Face Verification
Rajeev Ranjan
Carlos D. Castillo
Rama Chellappa
CVBM
86
454
0
28 Mar 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
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
118
2,579
0
12 Dec 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
459
5,372
0
05 Nov 2016
DeepID3: Face Recognition with Very Deep Neural Networks
DeepID3: Face Recognition with Very Deep Neural Networks
Yi Sun
Ding Liang
Xiaogang Wang
Xiaoou Tang
CVBM
85
939
0
03 Feb 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
305
3,883
0
19 Dec 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
162
2,117
0
21 Dec 2013
Learning with Augmented Features for Heterogeneous Domain Adaptation
Learning with Augmented Features for Heterogeneous Domain Adaptation
Lixin Duan
Dong Xu
Ivor Tsang
90
345
0
18 Jun 2012
Frustratingly Easy Domain Adaptation
Frustratingly Easy Domain Adaptation
Hal Daumé
117
1,799
0
10 Jul 2009
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