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240209s2024 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2024.3363831
|2 doi
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Yang, Siyuan
|e verfasserin
|4 aut
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| 245 |
1 |
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|a One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching
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| 264 |
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|c 2024
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| 336 |
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|a Text
|b txt
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Revised 06.06.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a One-shot skeleton action recognition, which aims to learn a skeleton action recognition model with a single training sample, has attracted increasing interest due to the challenge of collecting and annotating large-scale skeleton action data. However, most existing studies match skeleton sequences by comparing their feature vectors directly which neglects spatial structures and temporal orders of skeleton data. This paper presents a novel one-shot skeleton action recognition technique that handles skeleton action recognition via multi-scale spatial-temporal feature matching. We represent skeleton data at multiple spatial and temporal scales and achieve optimal feature matching from two perspectives. The first is multi-scale matching which captures the scale-wise semantic relevance of skeleton data at multiple spatial and temporal scales simultaneously. The second is cross-scale matching which handles different motion magnitudes and speeds by capturing sample-wise relevance across multiple scales. Extensive experiments over three large-scale datasets (NTU RGB+D, NTU RGB+D 120, and PKU-MMD) show that our method achieves superior one-shot skeleton action recognition, and outperforms SOTA consistently by large margins
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Liu, Jun
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lu, Shijian
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Hwa, Er Meng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kot, Alex C
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 46(2024), 7 vom: 01. Juni, Seite 5149-5156
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
1 |
8 |
|g volume:46
|g year:2024
|g number:7
|g day:01
|g month:06
|g pages:5149-5156
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| 856 |
4 |
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|u http://dx.doi.org/10.1109/TPAMI.2024.3363831
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