Cleveland 发表于 2025-3-21 16:38:03
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K. F. Walker,R. J. Shiel,P. L. Cadwalladeraverage, . brings down reconstruction error by 30% over SPR and by 270%+ over deep learning based SotA methods) at the cost of longer computation times and a slight increase in small-scale topological noise in some cases. Our source code, pre-trained model, and dataset are available at: ..Soliloquy 发表于 2025-3-22 03:36:02
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Applied Aspects of Temporary Waters,l and temporal features of VSOD. Furthermore, our semi-curriculum learning design enables the first online refinement strategy for VSOD, which allows exciting and boosting saliency responses during testing without re-training. The proposed triple excitations can easily plug in different VSOD methods小教堂 发表于 2025-3-22 12:57:45
https://doi.org/10.1007/978-94-011-3068-4ifferent . based on only one input image. We further conduct experiments on Sky Time-lapse dataset, and the results demonstrate the superiority of our approach over the state-of-the-art methods for generating high-quality and dynamic videos, as well as the variety for generating videos with various小教堂 发表于 2025-3-22 18:54:27
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