Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Shen, Haoran"'
In this paper, we compare the performance of Kolmogorov-Arnold Networks (KAN) and Multi-Layer Perceptron (MLP) networks on irregular or noisy functions. We control the number of parameters and the size of the training samples to ensure a fair compari
Externí odkaz:
http://arxiv.org/abs/2408.07906
It has been observed that even a small amount of noise introduced into the dataset can significantly degrade the performance of KAN. In this brief note, we aim to quantitatively evaluate the performance when noise is added to the dataset. We propose
Externí odkaz:
http://arxiv.org/abs/2407.14882
The Few-Shot Segmentation (FSS) aims to accomplish the novel class segmentation task with a few annotated images. Current FSS research based on meta-learning focus on designing a complex interaction mechanism between the query and support feature. Ho
Externí odkaz:
http://arxiv.org/abs/2312.15731
For intelligent quadcopter UAVs, a robust and reliable autonomous planning system is crucial. Most current trajectory planning methods for UAVs are suitable for static environments but struggle to handle dynamic obstacles, which can pose challenges a
Externí odkaz:
http://arxiv.org/abs/2311.12893
Autor:
Shen, Haoran, Zhang, Yifu, Wang, Wenxuan, Chen, Chen, Liu, Jing, Song, Shanshan, Li, Jiangyun
Recent works have shown that the computational efficiency of 3D medical image (e.g. CT and MRI) segmentation can be impressively improved by dynamic inference based on slice-wise complexity. As a pioneering work, a dynamic architecture network for me
Externí odkaz:
http://arxiv.org/abs/2310.18656
Publikováno v:
In Nuclear Engineering and Design October 2024 427
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In Annals of Nuclear Energy November 2024 207
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In Polymer 24 July 2024 307
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In International Journal of Biological Macromolecules June 2024 269 Part 1
Publikováno v:
In Schizophrenia Research: Cognition June 2024 36