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Knowledge Distillation for End-to-End Person Search

Knowledge Distillation for End-to-End Person Search

3 September 2019
Bharti Munjal
Fabio Galasso
S. Amin
    FedML
ArXivPDFHTML

Papers citing "Knowledge Distillation for End-to-End Person Search"

41 / 41 papers shown
Title
Query-guided End-to-End Person Search
Query-guided End-to-End Person Search
Bharti Munjal
S. Amin
Federico Tombari
Fabio Galasso
36
130
0
03 May 2019
Learning Context Graph for Person Search
Learning Context Graph for Person Search
Yichao Yan
Qiang Zhang
Bingbing Ni
Wendong Zhang
Minghao Xu
Xiaokang Yang
78
188
0
03 Apr 2019
Maximum Margin Metric Learning Over Discriminative Nullspace for Person
  Re-identification
Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification
T. Ali
S. Chaudhuri
45
30
0
28 Jul 2018
Person Re-identification with Deep Similarity-Guided Graph Neural
  Network
Person Re-identification with Deep Similarity-Guided Graph Neural Network
Yantao Shen
Hongsheng Li
Shuai Yi
Dapeng Chen
Xiaogang Wang
3DH
63
272
0
26 Jul 2018
Person Search by Multi-Scale Matching
Person Search by Multi-Scale Matching
Xu Lan
Xiatian Zhu
S. Gong
44
144
0
23 Jul 2018
Person Search via A Mask-Guided Two-Stream CNN Model
Person Search via A Mask-Guided Two-Stream CNN Model
Di Chen
Shanshan Zhang
Wanli Ouyang
Jian Yang
Ying Tai
58
191
0
21 Jul 2018
Attention-Aware Compositional Network for Person Re-identification
Attention-Aware Compositional Network for Person Re-identification
Jing Xu
Rui Zhao
Feng Zhu
Huaming Wang
Wanli Ouyang
CVBM
77
443
0
09 May 2018
Adversarial Network Compression
Adversarial Network Compression
Vasileios Belagiannis
Azade Farshad
Fabio Galasso
GAN
AAML
44
58
0
28 Mar 2018
Model compression via distillation and quantization
Model compression via distillation and quantization
A. Polino
Razvan Pascanu
Dan Alistarh
MQ
76
729
0
15 Feb 2018
AlignedReID: Surpassing Human-Level Performance in Person
  Re-Identification
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
Xuan Zhang
Haowen Luo
Xing Fan
Weilai Xiang
Yixiao Sun
Qiqi Xiao
Wei Jiang
Chi Zhang
Jian Sun
57
502
0
22 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
70
799
0
16 Nov 2017
Neural Person Search Machines
Neural Person Search Machines
Hao Liu
Jiashi Feng
Zequn Jie
J. Karlekar
Bo Zhao
Meibin Qi
Jianguo Jiang
Shuicheng Yan
123
152
0
21 Jul 2017
IAN: The Individual Aggregation Network for Person Search
IAN: The Individual Aggregation Network for Person Search
Jimin Xiao
Yanchun Xie
T. Tillo
Kaizhu Huang
Yunchao Wei
Jiashi Feng
3DPC
41
144
0
16 May 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
80
1,140
0
06 Apr 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
382
1,050
0
10 Feb 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
177
15,602
0
25 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
131
1,035
0
04 Dec 2016
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Jonathan Shen
Noranart Vesdapunt
Vishnu Boddeti
Kris Kitani
32
29
0
01 Dec 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
188
3,693
0
31 Aug 2016
A Siamese Long Short-Term Memory Architecture for Human
  Re-Identification
A Siamese Long Short-Term Memory Architecture for Human Re-Identification
Rahul Rama Varior
Bing Shuai
Jiwen Lu
Dong Xu
G. Wang
VLM
71
576
0
28 Jul 2016
End-to-End Comparative Attention Networks for Person Re-identification
End-to-End Comparative Attention Networks for Person Re-identification
Hao Liu
Jiashi Feng
Meibin Qi
Jianguo Jiang
Shuicheng Yan
77
576
0
14 Jun 2016
Learning Deep Feature Representations with Domain Guided Dropout for
  Person Re-identification
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Tong Xiao
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
OOD
75
977
0
26 Apr 2016
Person Re-identification in the Wild
Person Re-identification in the Wild
Liang Zheng
Hengheng Zhang
Shaoyan Sun
Manmohan Chandraker
Yi Yang
Q. Tian
49
683
0
09 Apr 2016
Joint Detection and Identification Feature Learning for Person Search
Joint Detection and Identification Feature Learning for Person Search
Tong Xiao
Shuang Li
Bochao Wang
Liang Lin
Xiaogang Wang
92
822
0
07 Apr 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
159
4,350
0
16 Mar 2016
Deep Feature Learning with Relative Distance Comparison for Person
  Re-identification
Deep Feature Learning with Relative Distance Comparison for Person Re-identification
Shengyong Ding
Liang Lin
Guangrun Wang
Hongyang Chao
78
670
0
11 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
194
29,742
0
08 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
185
2,984
0
02 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
285
6,660
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
465
62,122
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,033
0
30 Apr 2015
Compressing Neural Networks with the Hashing Trick
Compressing Neural Networks with the Hashing Trick
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
138
1,191
0
19 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
310
19,609
0
09 Mar 2015
Learning to rank in person re-identification with metric ensembles
Learning to rank in person re-identification with metric ensembles
S. Paisitkriangkrai
Chunhua Shen
Anton Van Den Hengel
72
473
0
05 Mar 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned
  CP-Decomposition
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
61
883
0
19 Dec 2014
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
276
3,870
0
19 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
126
1,170
0
18 Dec 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
160
2,117
0
21 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
264
26,168
0
11 Nov 2013
Predicting Parameters in Deep Learning
Predicting Parameters in Deep Learning
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
OOD
174
1,315
0
03 Jun 2013
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