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Deep Mutual Learning

Deep Mutual Learning

1 June 2017
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
    FedML
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Papers citing "Deep Mutual Learning"

50 / 710 papers shown
Title
Omni-Scale Feature Learning for Person Re-Identification
Omni-Scale Feature Learning for Person Re-Identification
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
30
821
0
02 May 2019
Interpretable and Generalizable Person Re-Identification with
  Query-Adaptive Convolution and Temporal Lifting
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting
Tianran Ouyang
Ling Shao
OOD
22
8
0
23 Apr 2019
Knowledge Distillation via Route Constrained Optimization
Knowledge Distillation via Route Constrained Optimization
Xiao Jin
Baoyun Peng
Yichao Wu
Yu Liu
Jiaheng Liu
Ding Liang
Junjie Yan
Xiaolin Hu
20
169
0
19 Apr 2019
Feature Fusion for Online Mutual Knowledge Distillation
Feature Fusion for Online Mutual Knowledge Distillation
Jangho Kim
Minsung Hyun
Inseop Chung
Nojun Kwak
FedML
31
91
0
19 Apr 2019
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial
  Video Saliency
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
Jia Li
K. Fu
Shengwei Zhao
Shiming Ge
43
26
0
10 Apr 2019
Rain Oér Me: Synthesizing real rain to derain with data distillation
Rain Oér Me: Synthesizing real rain to derain with data distillation
Huangxing Lin
Yanlong Li
Xinghao Ding
Xueyang Fu
Yue Huang
John Paisley
DD
16
25
0
09 Apr 2019
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
K. Fu
Peipei Shi
Yafei Song
Shiming Ge
Xiangju Lu
Jia Li
27
10
0
09 Apr 2019
Learning Metrics from Teachers: Compact Networks for Image Embedding
Learning Metrics from Teachers: Compact Networks for Image Embedding
Lu Yu
V. O. Yazici
Xialei Liu
Joost van de Weijer
Yongmei Cheng
Arnau Ramisa
19
105
0
07 Apr 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
63
507
0
03 Apr 2019
Pedestrian re-identification based on Tree branch network with local and
  global learning
Pedestrian re-identification based on Tree branch network with local and global learning
Hui Li
Meng Yang
Zhihui Lai
Weishi Zheng
Zitong Yu
13
10
0
31 Mar 2019
Improving Route Choice Models by Incorporating Contextual Factors via
  Knowledge Distillation
Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation
Qun Liu
S. Mukhopadhyay
Yimin Zhu
Ravindra Gudishala
Sanaz Saeidi
Alimire Nabijiang
11
6
0
27 Mar 2019
Multilingual Neural Machine Translation with Knowledge Distillation
Multilingual Neural Machine Translation with Knowledge Distillation
Xu Tan
Yi Ren
Di He
Tao Qin
Zhou Zhao
Tie-Yan Liu
25
248
0
27 Feb 2019
Improved Knowledge Distillation via Teacher Assistant
Improved Knowledge Distillation via Teacher Assistant
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Ang Li
Nir Levine
Akihiro Matsukawa
H. Ghasemzadeh
53
1,067
0
09 Feb 2019
Distilling Policy Distillation
Distilling Policy Distillation
Wojciech M. Czarnecki
Razvan Pascanu
Simon Osindero
Siddhant M. Jayakumar
G. Swirszcz
Max Jaderberg
24
132
0
06 Feb 2019
Episodic Training for Domain Generalization
Episodic Training for Domain Generalization
Da Li
Jianshu Zhang
Yongxin Yang
Cong Liu
Yi-Zhe Song
Timothy M. Hospedales
OOD
45
445
0
31 Jan 2019
Discovering Underlying Person Structure Pattern with Relative Local
  Distance for Person Re-identification
Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification
Guangcong Wang
Jianhuang Lai
Zhenyu Xie
Xiaohua Xie
24
7
0
29 Jan 2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network
  for Person Re-Identification
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
Youngmin Ro
Jongwon Choi
D. Jo
Byeongho Heo
Jongin Lim
J. Choi
27
16
0
18 Jan 2019
Certainty Driven Consistency Loss on Multi-Teacher Networks for
  Semi-Supervised Learning
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning
Lu Liu
R. Tan
27
32
0
17 Jan 2019
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
Houjing Huang
Wenjie Yang
Xiaotang Chen
Xin Zhao
Kaiqi Huang
Jinbin Lin
Guan Huang
Dalong Du
OOD
6
86
0
29 Dec 2018
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain
  Adaptation
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation
Toshihiko Matsuura
Kuniaki Saito
Tatsuya Harada
27
13
0
18 Dec 2018
Optimizing speed/accuracy trade-off for person re-identification via
  knowledge distillation
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation
Idoia Ruiz
Bogdan Raducanu
Rakesh Mehta
J. Amores
21
12
0
07 Dec 2018
Knockoff Nets: Stealing Functionality of Black-Box Models
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy
Bernt Schiele
Mario Fritz
MLAU
36
526
0
06 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation
Snapshot Distillation: Teacher-Student Optimization in One Generation
Chenglin Yang
Lingxi Xie
Chi Su
Alan Yuille
18
193
0
01 Dec 2018
Factorized Distillation: Training Holistic Person Re-identification
  Model by Distilling an Ensemble of Partial ReID Models
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models
Pengyuan Ren
Jianmin Li
25
9
0
20 Nov 2018
Fast Human Pose Estimation
Fast Human Pose Estimation
Feng Zhang
Xiatian Zhu
Mao Ye
3DH
35
236
0
13 Nov 2018
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features
  for Large-scale Video Classification
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification
Rongcheng Lin
Jing Xiao
Jianping Fan
VLM
27
103
0
12 Nov 2018
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Feng Zheng
Cheng Deng
Xing Sun
Xinyang Jiang
Xiaowei Guo
Zongqiao Yu
Feiyue Huang
Rongrong Ji
24
24
0
29 Oct 2018
Learning with privileged information via adversarial discriminative
  modality distillation
Learning with privileged information via adversarial discriminative modality distillation
Nuno C. Garcia
Pietro Morerio
Vittorio Murino
27
67
0
19 Oct 2018
DT-LET: Deep Transfer Learning by Exploring where to Transfer
DT-LET: Deep Transfer Learning by Exploring where to Transfer
Jianzhe Lin
Qi. Wang
Rabab Ward
Z. J. Wang
18
27
0
23 Sep 2018
In Defense of the Classification Loss for Person Re-Identification
In Defense of the Classification Loss for Person Re-Identification
Y. Zhai
Xun Guo
Yan Lu
Houqiang Li
18
56
0
16 Sep 2018
MotherNets: Rapid Deep Ensemble Learning
MotherNets: Rapid Deep Ensemble Learning
Abdul Wasay
Brian Hentschel
Yuze Liao
Sanyuan Chen
Stratos Idreos
14
35
0
12 Sep 2018
Unsupervised Person Re-identification by Deep Learning Tracklet
  Association
Unsupervised Person Re-identification by Deep Learning Tracklet Association
Minxian Li
Xiatian Zhu
S. Gong
19
227
0
08 Sep 2018
Query Attack via Opposite-Direction Feature:Towards Robust Image
  Retrieval
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
Zhedong Zheng
Liang Zheng
Yi Yang
Zhilan Hu
AAML
28
24
0
07 Sep 2018
Support Neighbor Loss for Person Re-Identification
Support Neighbor Loss for Person Re-Identification
Kai Li
Zhengming Ding
Kunpeng Li
Yulun Zhang
Y. Fu
14
37
0
18 Aug 2018
Adversarial Vision Challenge
Adversarial Vision Challenge
Wieland Brendel
Jonas Rauber
Alexey Kurakin
Nicolas Papernot
Behar Veliqi
M. Salathé
Sharada Mohanty
Matthias Bethge
AAML
33
58
0
06 Aug 2018
Person Search by Multi-Scale Matching
Person Search by Multi-Scale Matching
Xu Lan
Xiatian Zhu
S. Gong
20
143
0
23 Jul 2018
Discriminative Feature Learning with Foreground Attention for Person
  Re-Identification
Discriminative Feature Learning with Foreground Attention for Person Re-Identification
Sanping Zhou
Jinjun Wang
Deyu Meng
Yudong Liang
Yihong Gong
N. Zheng
CVBM
21
60
0
04 Jul 2018
SphereReID: Deep Hypersphere Manifold Embedding for Person
  Re-Identification
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
Xing Fan
Wei Jiang
Hao Luo
Mengjuan Fei
24
199
0
02 Jul 2018
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
212
474
0
12 Jun 2018
Mix&Match - Agent Curricula for Reinforcement Learning
Mix&Match - Agent Curricula for Reinforcement Learning
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Max Jaderberg
Leonard Hasenclever
Yee Whye Teh
Simon Osindero
N. Heess
Razvan Pascanu
8
71
0
05 Jun 2018
Adaptive Importance Learning for Improving Lightweight Image
  Super-resolution Network
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network
Lei Zhang
Peng Wang
Chunhua Shen
Lingqiao Liu
Wei Wei
Yanning Zhang
Anton van den Hengel
SupR
36
41
0
05 Jun 2018
Collaborative Learning for Deep Neural Networks
Collaborative Learning for Deep Neural Networks
Guocong Song
Wei Chai
FedML
21
192
0
30 May 2018
An Evaluation of Deep CNN Baselines for Scene-Independent Person
  Re-Identification
An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification
P. Marchwica
Michael Jamieson
P. Siva
3DPC
BDL
30
6
0
16 May 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate
  Better Students
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students
Chenglin Yang
Lingxi Xie
Siyuan Qiao
Alan Yuille
35
135
0
15 May 2018
Part-Aligned Bilinear Representations for Person Re-identification
Part-Aligned Bilinear Representations for Person Re-identification
Yumin Suh
Jingdong Wang
Siyu Tang
Tao Mei
Kyoung Mu Lee
32
510
0
19 Apr 2018
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
278
404
0
09 Apr 2018
Learning Discriminative Features with Multiple Granularities for Person
  Re-Identification
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Guanshuo Wang
Yufeng Yuan
Xiong Chen
Jiwei Li
Xi Zhou
OOD
36
1,305
0
04 Apr 2018
Dual Attention Matching Network for Context-Aware Feature Sequence based
  Person Re-Identification
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
Jianlou Si
Honggang Zhang
Chun-Guang Li
Jason Kuen
Xiangfei Kong
Alex C. Kot
G. Wang
33
464
0
27 Mar 2018
Person re-identification with fusion of hand-crafted and deep pose-based
  body region features
Person re-identification with fusion of hand-crafted and deep pose-based body region features
Jubin Johnson
Shunsuke Yasugi
Yoichiro Sugino
Sugiri Pranata
Shengmei Shen
CVBM
17
12
0
27 Mar 2018
Multi-Level Factorisation Net for Person Re-Identification
Multi-Level Factorisation Net for Person Re-Identification
Xiaobin Chang
Timothy M. Hospedales
Tao Xiang
28
503
0
24 Mar 2018
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