Zobrazeno 1 - 10
of 427
pro vyhledávání: '"Lin Yu-Chieh"'
The goal of this paper is to improve the performance of pretrained Vision Transformer (ViT) models, particularly DINOv2, in image clustering task without requiring re-training or fine-tuning. As model size increases, high-norm artifacts anomaly appea
Externí odkaz:
http://arxiv.org/abs/2410.04801
Autor:
Nara, Ryoya, Lin, Yu-Chieh, Nozawa, Yuji, Ng, Youyang, Itoh, Goh, Torii, Osamu, Matsui, Yusuke
Many image retrieval studies use metric learning to train an image encoder. However, metric learning cannot handle differences in users' preferences, and requires data to train an image encoder. To overcome these limitations, we revisit relevance fee
Externí odkaz:
http://arxiv.org/abs/2404.16398
In existing image classification systems that use deep neural networks, the knowledge needed for image classification is implicitly stored in model parameters. If users want to update this knowledge, then they need to fine-tune the model parameters.
Externí odkaz:
http://arxiv.org/abs/2204.01186
Publikováno v:
In Process Biochemistry October 2024 145:302-310
Publikováno v:
In Bioresource Technology February 2024 393
Autor:
Chiang, Cheng-Ming, Tseng, Yu, Xu, Yu-Syuan, Kuo, Hsien-Kai, Tsai, Yi-Min, Chen, Guan-Yu, Tan, Koan-Sin, Wang, Wei-Ting, Lin, Yu-Chieh, Tseng, Shou-Yao Roy, Lin, Wei-Shiang, Yu, Chia-Lin, Shen, BY, Kao, Kloze, Cheng, Chia-Ming, Chen, Hung-Jen
Recently, image enhancement and restoration have become important applications on mobile devices, such as super-resolution and image deblurring. However, most state-of-the-art networks present extremely high computational complexity. This makes them
Externí odkaz:
http://arxiv.org/abs/2004.12599
Autor:
Wang, Lei-Chi, Hsieh, Yu-Han, Hung, Yu-Ling, Jiang, Yu-Ting, Lin, Yu-Chieh, Chang, Margaret Dah-Tsyr, Lin, Yen-Yin, Chou, Teh-Ying
Publikováno v:
In Laboratory Investigation September 2023 103(9)
Akademický článek
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Autor:
Huang, Pei-Wen, Ouyang, Hsu, Hsu, Bang-Yi, Chang, Yu-Ruei, Lin, Yu-Chieh, Chen, Yung-An, Hsieh, Yu-Han, Fu, Chien-Chung, Li, Chien-Feng, Lin, Ching-Hung, Lin, Yen-Yin, Dah-Tsyr Chang, Margaret, Pai, Tun-Wen
Publikováno v:
In Heliyon February 2023 9(2)
Akademický článek
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