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- W2890968638 abstract "In recent years, human action detection in videos has gained wide attention. Instead of detection frame by frame, a model named action tubelet (ACT) detector detects human actions sequence by sequence and achieves remarkable performances on both accuracy and speed in the form of two streams. In this work, a three-stream action tubelet detector (three-stream ACT detector) is proposed which adds an extra pose stream to obtain more information about human actions and fuses three streams by weighted average compared to the two-stream architecture. The experimental results on the benchmark UCF-Sports, J-HMDB and UCF-101 datasets demonstrate that the proposed three-stream ACT detector framework is able to boost the performance of human action detection." @default.
- W2890968638 created "2018-09-27" @default.
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- W2890968638 date "2018-01-01" @default.
- W2890968638 modified "2023-09-24" @default.
- W2890968638 title "Three-Stream Action Tubelet Detector for Spatiotemporal Action Detection in Videos" @default.
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- W2890968638 doi "https://doi.org/10.1007/978-3-030-00767-6_28" @default.
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