17.1.3.5.6 Multi-Scale, Learning, Re-Identification Issues

Chapter Contents (Back)
Motion, Human. Tracking. Multi-Scale. Re-Identification.

Li, S.S.[Si-Shang], Liu, X.L.[Xue-Liang], Zhao, Y.[Ye], Wang, M.[Meng],
Person re-identification based on multi-scale constraint network,
PRL(138), 2020, pp. 403-409.
Elsevier DOI 1806
Multi-scale, Person Re-ID, TriHard loss BibRef

Zhou, Q.Q.[Qin-Qin], Zhong, B.N.[Bi-Neng], Lan, X.Y.[Xiang-Yuan], Sun, G.[Gan], Zhang, Y.L.[Yu-Lun], Zhang, B.C.[Bao-Chang], Ji, R.R.[Rong-Rong],
Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss,
IP(29), 2020, pp. 7578-7589.
IEEE DOI 2007
Person re-identification, spatial alignment, focal triplet loss BibRef

Zheng, F.[Feng], Deng, C.[Cheng], Sun, X.[Xing], Jiang, X.Y.[Xin-Yang], Guo, X.W.[Xiao-Wei], Yu, Z.Q.[Zong-Qiao], Huang, F.Y.[Fei-Yue], Ji, R.R.[Rong-Rong],
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training,
CVPR19(8506-8514).
IEEE DOI 2002
BibRef

Yang, X.[Xi], Liu, L.C.[Liang-Chen], Wang, N.N.[Nan-Nan], Gao, X.B.[Xin-Bo],
A Two-Stream Dynamic Pyramid Representation Model for Video-Based Person Re-Identification,
IP(30), 2021, pp. 6266-6276.
IEEE DOI 2107
Video sequences, Sampling methods, Feature extraction, Task analysis, Semantics, Measurement, two-stream network BibRef

Huang, Y.[Yewen], Lian, S.C.[Si-Cheng], Hu, H.F.[Hai-Feng], Chen, D.[Dihu], Su, T.[Tao],
Multiscale Omnibearing Attention Networks for Person Re-Identification,
CirSysVideo(31), No. 5, 2021, pp. 1790-1803.
IEEE DOI 2105
BibRef

Gu, H.Y.[Hong-Yang], Fu, G.Y.[Guang-Yuan], Wang, X.[Xu], Zhu, J.[Jun],
Learning auto-scale representations for person re-identification,
IVC(112), 2021, pp. 104241.
Elsevier DOI 2107
Person re-identification, Auto-scale learning, Neural architecture search, AutoML BibRef

Li, Q.[Qing], Peng, X.J.[Xiao-Jiang], Qiao, Y.[Yu], Hao, Q.[Qi],
Unsupervised person re-identification with multi-label learning guided self-paced clustering,
PR(125), 2022, pp. 108521.
Elsevier DOI 2203
MLC, Multi-scale network, Multi-label learning, Self-paced clustering, Unsupervised person Re-ID BibRef

Zhu, Y.J.[Ying-Jie], Yang, W.Z.[Wen-Zhong], Wang, L.[Liejun], Chen, D.[Danny], Wang, M.[Min], Wei, F.Y.[Fu-Yuan], KeZiErBieKe, H.[HaiLaTi], Liao, Y.Y.[Yuan-Yuan],
Multiscale Global-Aware Channel Attention for Person Re-identification,
JVCIR(90), 2023, pp. 103714.
Elsevier DOI 2301
Person re-identification, Multi-scale, Global-aware, Channel attention BibRef

Zhang, Y.Z.[Yun-Zuo], Kang, W.[Weili], Liu, Y.M.[Ya-Meng], Zhu, P.F.[Peng-Fei],
Multi-Scale Semantic and Detail Extraction Network for Lightweight Person Re-Identification,
CVIU(236), 2023, pp. 103813.
Elsevier DOI 2310
Person re-identification, Multi-scale feature, Lightweight network BibRef

Jiang, J.H.[Jin-Hua], Zhang, W.F.[Wen-Feng], Ran, R.S.[Rui-Sheng], Hu, W.[Wei], Dai, J.Y.[Jiang-Yan],
Multi-Scale Transformer-Based Matching Network for Generalizable Person Re-Identification,
SPLetters(30), 2023, pp. 1277-1281.
IEEE DOI 2310
BibRef

Luo, Q.[Qian], Shao, J.[Jie], Dang, W.L.[Wan-Li], Wang, C.[Chao], Cao, L.[Libo], Zhang, T.[Tao],
An efficient feature pyramid attention network for person re-identification,
IVC(145), 2024, pp. 104963.
Elsevier DOI 2405
Person re-identification, Convolutional neural network, Feature pyramid, Attention mechanism BibRef

Sarker, P.K.[Prodip Kumar], Zhao, Q.J.[Qing-Jie],
Enhanced visible-infrared person re-identification based on cross-attention multiscale residual vision transformer,
PR(149), 2024, pp. 110288.
Elsevier DOI 2403
Cross-modality, Vision transformer, Weighted fused features, Datasets, Evaluation protocols BibRef

Ran, Z.D.[Zhi-Dan], Wei, X.[Xuan], Liu, W.[Wei], Lu, X.B.[Xiao-Bo],
Multiscale Aligned Spatial-Temporal Interaction for Video-Based Person Re-Identification,
CirSysVideo(34), No. 9, September 2024, pp. 8536-8546.
IEEE DOI 2410
Spatial resolution, Representation learning, Convolution, Task analysis, Streams, spatial-temporal information BibRef

Chen, K.X.[Kai-Xiang], Fang, P.F.[Peng-Fei], Ye, Z.[Zi], Zhang, L.Y.[Li-Yan],
Multi-Scale Explicit Matching and Mutual Subject Teacher Learning for Generalizable Person Re-Identification,
CirSysVideo(34), No. 9, September 2024, pp. 8881-8895.
IEEE DOI 2410
Kernel, Data models, Training, Protocols, Task analysis, Pedestrians, Feature extraction, Person re-identification, mutual-teacher BibRef


Wang, Y.Q.[Ying-Quan], Zhang, P.P.[Ping-Ping], Gao, S.[Shang], Geng, X.[Xia], Lu, H.[Hu], Wang, D.[Dong],
Pyramid Spatial-Temporal Aggregation for Video-based Person Re-Identification,
ICCV21(12006-12015)
IEEE DOI 2203
Mars, Correlation, Codes, Fuses, Aggregates, Interference, Image and video retrieval, BibRef

Sun, L., Liu, J., Zhu, Y., Jiang, Z.,
Local to Global with Multi-Scale Attention Network for Person Re-Identification,
ICIP19(2254-2258)
IEEE DOI 1910
Person re-identification, local information, global information, spatial attention BibRef

Ji, X.L.[Xiang-Li], Luo, G.B.[Gui-Bo], Zhu, Y.S.[Yue-Sheng],
A New Temporal Deconvolutional Pyramid Network for Action Detection,
ACCV18(IV:696-711).
Springer DOI 1906
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Metric Learning, Re-Identification Issues .


Last update:Apr 6, 2026 at 11:28:57