Multi-head attention-based two-stream EfficientNet for action recognition

CC BY

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Hiển thị chi tiết
Tác giả chính: Aihua, Zhou, Yujun, Ma, Wanting, Ji
Định dạng: Sách
Ngôn ngữ:English
Nhà xuất bản: Springer 2023
Chủ đề:
Truy cập trực tuyến:https://link.springer.com/article/10.1007/s00530-022-00961-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7352
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spelling oai:localhost:PNK-73522023-03-31T01:20:48Z Multi-head attention-based two-stream EfficientNet for action recognition Aihua, Zhou Yujun, Ma Wanting, Ji Multi-head Attention-based Two-stream EfficientNet MAT-EffNet EfficientNet CC BY Recent years have witnessed the popularity of using two-stream convolutional neural networks for action recognition. However, existing two-stream convolutional neural network-based action recognition approaches are incapable of distinguishing some roughly similar actions in videos such as sneezing and yawning. To solve this problem, we propose a Multi-head Attention-based Two-stream EfficientNet (MAT-EffNet) for action recognition, which can take advantage of the efficient feature extraction of EfficientNet. The proposed network consists of two streams (i.e., a spatial stream and a temporal stream), which first extract the spatial and temporal features from consecutive frames by using EfficientNet. 2023-03-31T01:20:48Z 2023-03-31T01:20:48Z 2023 Book https://link.springer.com/article/10.1007/s00530-022-00961-3 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7352 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Multi-head Attention-based Two-stream EfficientNet
MAT-EffNet
EfficientNet
spellingShingle Multi-head Attention-based Two-stream EfficientNet
MAT-EffNet
EfficientNet
Aihua, Zhou
Yujun, Ma
Wanting, Ji
Multi-head attention-based two-stream EfficientNet for action recognition
description CC BY
format Book
author Aihua, Zhou
Yujun, Ma
Wanting, Ji
author_facet Aihua, Zhou
Yujun, Ma
Wanting, Ji
author_sort Aihua, Zhou
title Multi-head attention-based two-stream EfficientNet for action recognition
title_short Multi-head attention-based two-stream EfficientNet for action recognition
title_full Multi-head attention-based two-stream EfficientNet for action recognition
title_fullStr Multi-head attention-based two-stream EfficientNet for action recognition
title_full_unstemmed Multi-head attention-based two-stream EfficientNet for action recognition
title_sort multi-head attention-based two-stream efficientnet for action recognition
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00530-022-00961-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7352
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score 8.891145