Adaptive Graph Representation Learning for Video Person Re-Identification

Recent years have witnessed the remarkable progress of applying deep learning models in video person re-identification (Re-ID). A key factor for video person Re-ID is to effectively construct discriminative and robust video feature representations for many complicated situations. Part-based approach...

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Vydané v:	IEEE transactions on image processing Ročník 29; s. 8821 - 8830
Hlavní autori:	Wu, Yiming, Bourahla, Omar El Farouk, Li, Xi, Wu, Fei, Tian, Qi, Zhou, Xue
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptation models Adaptive structures consistency Context modeling Deep learning Feature extraction graph neural network Graph representations Graphical representations Machine learning Nodes Regularization Temporal resolution Three-dimensional displays Video person re-identification Visualization
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line prístup:	Získať plný text
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