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Moving Towards Centers: Re-ranking with Attention and Memory for
  Re-identification
v1v2 (latest)

Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification

4 May 2021
Yunhao Zhou
Yi Wang
Lap-Pui Chau
ArXiv (abs)PDFHTML

Papers citing "Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification"

29 / 29 papers shown
Title
TransReID: Transformer-based Object Re-Identification
TransReID: Transformer-based Object Re-Identification
Shuting He
Haowen Luo
Pichao Wang
F. Wang
Hao Li
Wei Jiang
ViT
268
818
0
08 Feb 2021
Understanding Image Retrieval Re-Ranking: A Graph Neural Network
  Perspective
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Xuanmeng Zhang
Minyue Jiang
Zhedong Zheng
Xiaoping Tan
Errui Ding
Yi Yang
GNN
50
45
0
14 Dec 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
421
13,048
0
26 May 2020
VehicleNet: Learning Robust Visual Representation for Vehicle
  Re-identification
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification
Zhedong Zheng
Tao Ruan
Yunchao Wei
Yi Yang
Tao Mei
71
151
0
14 Apr 2020
The Devil is in the Details: Self-Supervised Attention for Vehicle
  Re-Identification
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
Pirazh Khorramshahi
Neehar Peri
Jun-Cheng Chen
Rama Chellappa
59
137
0
14 Apr 2020
Attribute-guided Feature Learning Network for Vehicle Re-identification
Attribute-guided Feature Learning Network for Vehicle Re-identification
Huibing Wang
Jinjia Peng
Dongyan Chen
Guangqi Jiang
Tongtong Zhao
Xianping Fu
53
85
0
12 Jan 2020
Visual Tracking via Dynamic Memory Networks
Visual Tracking via Dynamic Memory Networks
Tianyu Yang
Antoni B. Chan
71
55
0
12 Jul 2019
A Strong Baseline and Batch Normalization Neck for Deep Person
  Re-identification
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
Hao Luo
Wei Jiang
Youzhi Gu
Fuxu Liu
Xingyu Liao
Shenqi Lai
Jianyang Gu
3DPC
83
515
0
19 Jun 2019
Memory-Augmented Temporal Dynamic Learning for Action Recognition
Memory-Augmented Temporal Dynamic Learning for Action Recognition
Yuan. Yuan
Dong Wang
Qi. Wang
51
13
0
30 Apr 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
179
4,990
0
30 Jul 2018
Resource Aware Person Re-identification across Multiple Resolutions
Resource Aware Person Re-identification across Multiple Resolutions
Yan Wang
Lequn Wang
Yurong You
Xu Zou
Vincent Chen
Serena Li
Gao Huang
Bharath Hariharan
Kilian Q. Weinberger
46
247
0
22 May 2018
Multi-Level Factorisation Net for Person Re-Identification
Multi-Level Factorisation Net for Person Re-Identification
Xiaobin Chang
Timothy M. Hospedales
Tao Xiang
60
506
0
24 Mar 2018
Image Transformer
Image Transformer
Niki Parmar
Ashish Vaswani
Jakob Uszkoreit
Lukasz Kaiser
Noam M. Shazeer
Alexander Ku
Dustin Tran
ViT
138
1,680
0
15 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
184
19,284
0
13 Jan 2018
A Pose-Sensitive Embedding for Person Re-Identification with Expanded
  Cross Neighborhood Re-Ranking
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
M. Sarfraz
Arne Schumann
Andreas Eberle
Rainer Stiefelhagen
93
496
0
28 Nov 2017
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
137
2,177
0
26 Nov 2017
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Longhui Wei
Shiliang Zhang
Wen Gao
Q. Tian
GAN
98
1,669
0
23 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
289
8,906
0
21 Nov 2017
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
84
1,304
0
03 Nov 2017
Multi-scale Deep Learning Architectures for Person Re-identification
Multi-scale Deep Learning Architectures for Person Re-identification
Xuelin Qian
Yanwei Fu
Yu-Gang Jiang
Tao Xiang
Xiangyang Xue
82
277
0
15 Sep 2017
Divide and Fuse: A Re-ranking Approach for Person Re-identification
Divide and Fuse: A Re-ranking Approach for Person Re-identification
Rui Yu
Zhichao Zhou
S. Bai
X. Bai
104
95
0
11 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
710
131,652
0
12 Jun 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
3,206
0
22 Mar 2017
Re-ranking Person Re-identification with k-reciprocal Encoding
Re-ranking Person Re-identification with k-reciprocal Encoding
Zhun Zhong
Liang Zheng
Donglin Cao
Shaozi Li
132
1,504
0
29 Jan 2017
Performance Measures and a Data Set for Multi-Target, Multi-Camera
  Tracking
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani
Francesco Solera
Roger S. Zou
Rita Cucchiara
Carlo Tomasi
86
2,614
0
06 Sep 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
64
684
0
09 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
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