2D-SNet: A Lightweight Network for Person Re-Identification on the Small Data Regime | IEEE Journals & Magazine | IEEE Xplore

2D-SNet: A Lightweight Network for Person Re-Identification on the Small Data Regime


Abstract:

Currently, researchers incline to employ large-scale datasets as benchmarks for pre-training and fine-tuning models on small-scale datasets to achieve superior performanc...Show More

Abstract:

Currently, researchers incline to employ large-scale datasets as benchmarks for pre-training and fine-tuning models on small-scale datasets to achieve superior performance. However, many researchers cannot afford the enormous computational overhead that pre-training entails, and fine-tuning is easy to compromise the generalization ability of models for the target dataset. Therefore, model learning on the small challenging data regime should be given renewed attention, which will benefit many tasks such as person re-identification. To this end, we propose a novel model named “Two-Dimensional Serpentine Network (2D-SNet)”, which is constructed by multiple lightweight and effective “Two-Dimensional Serpentine Blocks (2D-SBlocks)”. The generalization ability of 2D-SNet stems from three points: (a) 2D-SBlock utilizes multi-scale convolution kernels to extract the multi-scale information from images on the small data regime; (b) 2D-SBlock has a serpentine calculation order, which significantly reduces the number of skip connections and can thereby save many computational and storage resources; (c) 2D-SBlock improves the discrimination ability of 2D-SNet via BN-Depthwise Conv or MSA. As experimentally demonstrated, our proposed 2D-SNet has superiority outstrips closely-related advanced approaches for person re-identification on datasets Market-1501 and CUHK03.
Page(s): 68 - 78
Date of Publication: 13 November 2023
Electronic ISSN: 2637-6407

Funding Agency:

Author image of Wei Li
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Wei Li received the B.S. and M.S. degrees from the School of Instrument Science and Engineering, Southeast University, China, in 2007 and 2010, respectively, and the Ph.D. degree from the Graduate School of Informatics, Kyoto University, Japan, in 2014. From 2015 to 2019, he was an Assistant Professor, and since 2019, he has been an Associate Professor with the School of Instrument Science and Engineering, Southeast Unive...Show More
Wei Li received the B.S. and M.S. degrees from the School of Instrument Science and Engineering, Southeast University, China, in 2007 and 2010, respectively, and the Ph.D. degree from the Graduate School of Informatics, Kyoto University, Japan, in 2014. From 2015 to 2019, he was an Assistant Professor, and since 2019, he has been an Associate Professor with the School of Instrument Science and Engineering, Southeast Unive...View more
Author image of Shitong Shao
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Shitong Shao received the B.S. degree from the School of Computer Science and Engineering, East China Normal University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include computer vision, pattern analysis, and machine intelligence.
Shitong Shao received the B.S. degree from the School of Computer Science and Engineering, East China Normal University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include computer vision, pattern analysis, and machine intelligence.View more
Author image of Ziming Qiu
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Ziming Qiu received the B.S. degree from the School of Automation, Hangzhou Dianzi University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include deep learning, reinforcement learning, and intelligent systems.
Ziming Qiu received the B.S. degree from the School of Automation, Hangzhou Dianzi University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include deep learning, reinforcement learning, and intelligent systems.View more
Author image of Zhihao Zhu
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Zhihao Zhu received the B.S. degree from the School of Optoelectronic Science and Engineering, Soochow University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include intelligence sensing, pattern classification, and neural networks.
Zhihao Zhu received the B.S. degree from the School of Optoelectronic Science and Engineering, Soochow University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include intelligence sensing, pattern classification, and neural networks.View more
Author image of Aiguo Song
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Aiguo Song (Senior Member, IEEE) received the Ph.D. degree from the School of Instrument Science and Engineering, Southeast University, China, in 1996, where he was an Associate Professor with the School of Instrument Science and Engineering from 1998 to 2000. From 2003 to 2004, he was a Visiting Scientist with the Laboratory for Intelligent Mechanical Systems, Northwestern University, USA. He is currently a Professor wit...Show More
Aiguo Song (Senior Member, IEEE) received the Ph.D. degree from the School of Instrument Science and Engineering, Southeast University, China, in 1996, where he was an Associate Professor with the School of Instrument Science and Engineering from 1998 to 2000. From 2003 to 2004, he was a Visiting Scientist with the Laboratory for Intelligent Mechanical Systems, Northwestern University, USA. He is currently a Professor wit...View more

Author image of Wei Li
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Wei Li received the B.S. and M.S. degrees from the School of Instrument Science and Engineering, Southeast University, China, in 2007 and 2010, respectively, and the Ph.D. degree from the Graduate School of Informatics, Kyoto University, Japan, in 2014. From 2015 to 2019, he was an Assistant Professor, and since 2019, he has been an Associate Professor with the School of Instrument Science and Engineering, Southeast University. His research interests mainly include signal processing, pattern recognition, machine learning, and artificial intelligence.
Wei Li received the B.S. and M.S. degrees from the School of Instrument Science and Engineering, Southeast University, China, in 2007 and 2010, respectively, and the Ph.D. degree from the Graduate School of Informatics, Kyoto University, Japan, in 2014. From 2015 to 2019, he was an Assistant Professor, and since 2019, he has been an Associate Professor with the School of Instrument Science and Engineering, Southeast University. His research interests mainly include signal processing, pattern recognition, machine learning, and artificial intelligence.View more
Author image of Shitong Shao
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Shitong Shao received the B.S. degree from the School of Computer Science and Engineering, East China Normal University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include computer vision, pattern analysis, and machine intelligence.
Shitong Shao received the B.S. degree from the School of Computer Science and Engineering, East China Normal University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include computer vision, pattern analysis, and machine intelligence.View more
Author image of Ziming Qiu
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Ziming Qiu received the B.S. degree from the School of Automation, Hangzhou Dianzi University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include deep learning, reinforcement learning, and intelligent systems.
Ziming Qiu received the B.S. degree from the School of Automation, Hangzhou Dianzi University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include deep learning, reinforcement learning, and intelligent systems.View more
Author image of Zhihao Zhu
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Zhihao Zhu received the B.S. degree from the School of Optoelectronic Science and Engineering, Soochow University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include intelligence sensing, pattern classification, and neural networks.
Zhihao Zhu received the B.S. degree from the School of Optoelectronic Science and Engineering, Soochow University, China, in 2021. He is currently pursuing the M.S. degree with the School of Instrument Science and Engineering, Southeast University, China. His research interests mainly include intelligence sensing, pattern classification, and neural networks.View more
Author image of Aiguo Song
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Aiguo Song (Senior Member, IEEE) received the Ph.D. degree from the School of Instrument Science and Engineering, Southeast University, China, in 1996, where he was an Associate Professor with the School of Instrument Science and Engineering from 1998 to 2000. From 2003 to 2004, he was a Visiting Scientist with the Laboratory for Intelligent Mechanical Systems, Northwestern University, USA. He is currently a Professor with the School of Instrument Science and Engineering, Southeast University. His research interests mainly include intelligent sensing, signal processing, cognitive systems, artificial intelligence, and robotics.
Aiguo Song (Senior Member, IEEE) received the Ph.D. degree from the School of Instrument Science and Engineering, Southeast University, China, in 1996, where he was an Associate Professor with the School of Instrument Science and Engineering from 1998 to 2000. From 2003 to 2004, he was a Visiting Scientist with the Laboratory for Intelligent Mechanical Systems, Northwestern University, USA. He is currently a Professor with the School of Instrument Science and Engineering, Southeast University. His research interests mainly include intelligent sensing, signal processing, cognitive systems, artificial intelligence, and robotics.View more

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