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Titlebook: Digital Multimedia Communications; 19th International F Guangtao Zhai,Jun Zhou,Jia Wang Conference proceedings 2023 The Editor(s) (if appli

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31#
發(fā)表于 2025-3-27 00:01:52 | 只看該作者
FPGA-Based Hardware Implementation of?JPEG XS Encoderency. It is designed extremely parallelizable and simple to implement on modern CPU, GPU, FPGA and ASIC. This paper proposes an efficient hardware JPEG XS encoder implementation. In this design, JPEG XS encoder is clearly decoupled into sub-modules that are pipelined and parallelized to effectively
32#
發(fā)表于 2025-3-27 05:10:25 | 只看該作者
33#
發(fā)表于 2025-3-27 06:46:22 | 只看該作者
34#
發(fā)表于 2025-3-27 10:44:02 | 只看該作者
35#
發(fā)表于 2025-3-27 14:31:46 | 只看該作者
36#
發(fā)表于 2025-3-27 18:45:10 | 只看該作者
River Turbidity Monitoring Based on?Semi-supervised Transfer Learningo solve the problem of weakened model generalization ability. Then, the model is fine-tuned using GEE hyper spectral data with ground truth to further improve the monitoring capability of the model. Experiments conducted on the river turbidity monitoring task demonstrate that the proposed model is s
37#
發(fā)表于 2025-3-28 01:52:23 | 只看該作者
38#
發(fā)表于 2025-3-28 06:03:04 | 只看該作者
A Generic Image Feature Extraction Method Towards Multiple Vision Taskse proposed feature migration model with image classification as the secondary task can improve the mAP (mean average precision) of the target detection by 5.5%, and the feature migration model with target detection as the secondary task can improve the average accuracy of the image classification by
39#
發(fā)表于 2025-3-28 07:59:40 | 只看該作者
40#
發(fā)表于 2025-3-28 11:14:12 | 只看該作者
Bit-Depth Enhancement with?Distortion Sensitivitysigned to leverage the predicted distortion as well as its gradient at different scales. Experimental results on two widely used datasets demonstrate the superiority of the proposed methods compared with state-of-the-art methods.
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