255 citations · 780 across the 58 of their papers we have counts for
5 papers · 1 filter
CC-Loss: Channel Correlation Loss For Image Classification
Zeyu Song, Dongliang Chang, Zhanyu Ma +2
The loss function is a key component in deep learning models. A commonly used loss function for classification is the cross entropy loss, which is a simple yet effective applicatio…
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
Xiaoxu Li, Dongliang Chang, Zhanyu Ma +5
A deep neural network of multiple nonlinear layers forms a large function space, which can easily lead to overfitting when it encounters small-sample data. To mitigate overfitting…
A Multi-view Perspective of Self-supervised Learning
Chuanxing Geng, Zhenghao Tan, Songcan Chen
As a newly emerging unsupervised learning paradigm, self-supervised learning (SSL) recently gained widespread attention, which usually introduces a pretext task without manual anno…
Subjective Annotations for Vision-Based Attention Level Estimation
Andrea Coifman, Péter Rohoska, Miklas S. Kristoffersen +2
Attention level estimation systems have a high potential in many use cases, such as human-robot interaction, driver modeling and smart home systems, since being able to measure a p…
Decorrelation of Neutral Vector Variables: Theory and Applications
Zhanyu Ma, Jing-Hao Xue, Arne Leijon +3
In this paper, we propose novel strategies for neutral vector variable decorrelation. Two fundamental invertible transformations, namely serial nonlinear transformation and paralle…