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pro vyhledávání: '"Gong, Linrui"'
Diffusion models have shown the great potential in the point cloud registration (PCR) task, especially for enhancing the robustness to challenging cases. However, existing diffusion-based PCR methods primarily focus on instance-level scenarios and st
Externí odkaz:
http://arxiv.org/abs/2411.15271
In this paper, we propose a novel knowledge transfer framework that introduces continuous normalizing flows for progressive knowledge transformation and leverages multi-step sampling strategies to achieve precision knowledge transfer. We name this fr
Externí odkaz:
http://arxiv.org/abs/2402.02012
Knowledge distillation has emerged as a highly effective method for bridging the representation discrepancy between large-scale models and lightweight models. Prevalent approaches involve leveraging appropriate metrics to minimize the divergence or d
Externí odkaz:
http://arxiv.org/abs/2401.11824
In real teaching scenarios, an excellent teacher always teaches what he (or she) is good at but the student is not. This gives the student the best assistance in making up for his (or her) weaknesses and becoming a good one overall. Enlightened by th
Externí odkaz:
http://arxiv.org/abs/2212.05422
Publikováno v:
In Neurocomputing 14 October 2023 554
Akademický článek
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Publikováno v:
IET Image Processing (Wiley-Blackwell); Jan2023, Vol. 17 Issue 1, p67-76, 10p