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Titlebook: Computer Vision – ACCV 2018 Workshops; 14th Asian Conferenc Gustavo Carneiro,Shaodi You Conference proceedings 2019 Springer Nature Switzer

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31#
發(fā)表于 2025-3-26 23:25:42 | 只看該作者
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發(fā)表于 2025-3-27 09:09:47 | 只看該作者
https://doi.org/10.1007/978-1-4684-0409-8upper body. From these regions, we extract dense trajectory features and feed them into a shallow RNN to effectively consider the long-term relationships. The evaluation result shows that our framework outperforms previous approaches on the standard two benchmarks, i.e. J-HMDB and MPII Cooking Activities.
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發(fā)表于 2025-3-28 05:04:06 | 只看該作者
https://doi.org/10.1007/978-1-349-03555-7raph Convolutional Network (GCN). The system digs deep to extract table information and provide complete invoice reading upto 27 entities of interest without any template information or configuration with an excellent overall F-measure score of 0.93.
39#
發(fā)表于 2025-3-28 09:24:34 | 只看該作者
40#
發(fā)表于 2025-3-28 13:26:01 | 只看該作者
A Thumb Tip Wearable Device Consisting of Multiple Cameras to Measure Thumb Postureelationship between the joint angles of the thumb and the images taken by the cameras. In this paper, we captured the keypoint positions of the thumb with a USB sensor device and calculated the joint angles to construct a dataset. The root mean squared error of the test data was 6.23. and 4.75..
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