Cargando…
Sample-Guided Adaptive Class Prototype for Visual Domain Adaptation
Domain adaptation aims to handle the distribution mismatch of training and testing data, which achieves dramatic progress in multi-sensor systems. Previous methods align the cross-domain distributions by some statistics, such as the means and variances. Despite their appeal, such methods often fail...
Autores principales: | Han, Chao, Li, Xiaoyang, Yang, Zhen, Zhou, Deyun, Zhao, Yiyang, Kong, Weiren |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764304/ https://www.ncbi.nlm.nih.gov/pubmed/33316906 http://dx.doi.org/10.3390/s20247036 |
Ejemplares similares
-
Domain adaptation for visual understanding
por: Singh, Richa, et al.
Publicado: (2020) -
A Novel Domain Adaptation-Based Intelligent Fault Diagnosis Model to Handle Sample Class Imbalanced Problem
por: Zhang, Zhongwei, et al.
Publicado: (2021) -
Visually guided respiratory motion management for Ethos adaptive radiotherapy
por: Kim, Taeho, et al.
Publicado: (2021) -
Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions
por: Kuang, Jiachen, et al.
Publicado: (2022) -
Iterative joint classifier and domain adaptation for visual transfer learning
por: Noori Saray, Shiva, et al.
Publicado: (2021)