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Deep Spatial Feature Reconstruction for Partial Person
  Re-identification: Alignment-Free Approach

Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach

3 January 2018
Lingxiao He
Jian Liang
Haiqing Li
Zhenan Sun
ArXivPDFHTML

Papers citing "Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach"

5 / 5 papers shown
Title
TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
X. Cao
Y. Zheng
Yao Yao
Huapeng Qin
Xiaoyu Cao
Shihui Guo
88
1
0
03 Jan 2025
Deeply-Learned Part-Aligned Representations for Person Re-Identification
Deeply-Learned Part-Aligned Representations for Person Re-Identification
Liming Zhao
Xi Li
Jingdong Wang
Yueting Zhuang
66
751
0
23 Jul 2017
Deep Contrast Learning for Salient Object Detection
Deep Contrast Learning for Salient Object Detection
Guanbin Li
Yizhou Yu
52
729
0
07 Mar 2016
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
262
11,183
0
18 Jun 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
160
4,946
0
06 Oct 2013
1