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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204404
Abstract: Most current few-shot action recognition methods model temporal relationships on the basis of image classification and achieve satisfactory results. However, they focus on the extra temporal information of video data compared to images and use…
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Keywords:
action recognition;
shot action;
action;
image difference ... See more keywords
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1
Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3200605
Abstract: The success of zero-shot action recognition (ZSAR) methods is intrinsically related to the nature of semantic side information used to transfer knowledge, although this aspect has not been primarily investigated in the literature. This work…
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Keywords:
action recognition;
shot action;
global semantic;
action ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3175923
Abstract: Few-shot action recognition classifies new actions with only few training samples, of which the mainstream methods adopt class means to obtain prototypes as the representations of each category. However, affected by sample capacity and extreme…
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Keywords:
prototype;
class;
shot action;
action recognition ... See more keywords
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Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9817142
Abstract: [This retracts the article DOI: 10.1155/2021/7892902.].
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Keywords:
retracted recognition;
recognition badminton;
shot action;
based improved ... See more keywords
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Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095277
Abstract: Although the existing few-shot action recognition methods have achieved impressive results, they suffer from two major shortcomings. (a) During feature extraction, few-shot tasks are not distinguished and task-irrelevant features are obtained, resulting in the loss…
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Keywords:
information;
shot action;
task;
action recognition ... See more keywords