相关实验视频

Updated: Jun 3, 2025

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

8.9K

无监督域适应的域导向条件扩散模型

Yulong Zhang1, Shuhao Chen2, Weisen Jiang3

  • 1State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, Zhejiang, China.

Neural networks : the official journal of the International Neural Network Society
|January 8, 2025
PubMed
概括

域引导条件扩散模型 (DCDM) 通过生成现实的目标数据来提高深度学习模型在新任务上的性能. 这种方法可以改善无监督域名适应 (UDA),即使有重大域名转移和有限的数据.

关键词:
扩散模型的扩散模型.转移学习转移学习无监督的域名适应

更多相关视频

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

8.6K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

498

相关概念视频

Conservation of Protein Domains02:26

Conservation of Protein Domains

3.1K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
10.8K