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A Shape Transformation-based Dataset Augmentation Framework for
  Pedestrian Detection

A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection

International Journal of Computer Vision (IJCV), 2019
15 December 2019
Zhe Chen
Wanli Ouyang
Tongliang Liu
Dacheng Tao
    ViT
ArXiv (abs)PDFHTML

Papers citing "A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection"

6 / 6 papers shown
Title
A survey of synthetic data augmentation methods in computer vision
A survey of synthetic data augmentation methods in computer visionMachine Intelligence Research (MIR), 2024
A. Mumuni
F. Mumuni
N. K. Gerrar
275
68
0
15 Mar 2024
Recurrent Glimpse-based Decoder for Detection with Transformer
Recurrent Glimpse-based Decoder for Detection with Transformer
Zhe Chen
Jing Zhang
Dacheng Tao
ViT
129
39
0
09 Dec 2021
Dynamic Attention guided Multi-Trajectory Analysis for Single Object
  Tracking
Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking
Tianlin Li
Zhe Chen
Jin Tang
Bin Luo
Yaowei Wang
Yonghong Tian
Feng Wu
178
49
0
30 Mar 2021
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2020
Jing Zhang
Dacheng Tao
213
546
0
17 Nov 2020
From Handcrafted to Deep Features for Pedestrian Detection: A Survey
From Handcrafted to Deep Features for Pedestrian Detection: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jiale Cao
Yanwei Pang
Jin Xie
Fahad Shahbaz Khan
Ling Shao
ObjD
193
126
0
01 Oct 2020
Pedestrian Attribute Recognition: A Survey
Pedestrian Attribute Recognition: A Survey
Tianlin Li
Shaofei Zheng
Rui Yang
Aihua Zheng
Zhe Chen
Jin Tang
Bin Luo
CVBM
295
143
0
22 Jan 2019
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