3 citations · 5 across the 5 of their papers we have counts for
6 papers
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization
Yajie Sun, Miaohua Zhang, Xiaohan Yu +2
Fine-grained visual categorization (FGVC), which aims at classifying objects with small inter-class variances, has been significantly advanced in recent years. However, ultra-fine-…
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization
Zicheng Pan, Xiaohan Yu, Miaohua Zhang +1
While the fine-grained visual categorization (FGVC) problems have been greatly developed in the past years, the Ultra-fine-grained visual categorization (Ultra-FGVC) problems have…
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
Miaohua Zhang, Yongsheng Gao, Changming Sun +1
Traditional tensor decomposition methods, e.g., two dimensional principal component analysis and two dimensional singular value decomposition, that minimize mean square errors, are…
A Robust Matching Pursuit Algorithm Using Information Theoretic Learning
Miaohua Zhang, Yongsheng Gao, Changming Sun +1
Current orthogonal matching pursuit (OMP) algorithms calculate the correlation between two vectors using the inner product operation and minimize the mean square error, which are b…
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition
Miaohua Zhang, Yongsheng Gao
Two-dimensional singular decomposition (2DSVD) has been widely used for image processing tasks, such as image reconstruction, classification, and clustering. However, traditional 2…
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling
Miaohua Zhang, Yongsheng Gao, Jun Zhou
One of the most important problems in regression-based error model is modeling the complex representation error caused by various corruptions and environment changes in images. For…