3 papers
cs.LG2024
Deep Clustering via Distribution Learning
Guanfang Dong, Zijie Tan, Chenqiu Zhao +1
Distribution learning finds probability density functions from a set of data samples, whereas clustering aims to group similar data points to form clusters. Although there are deep…
cs.CV2023
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module
Zijie Tan, Guanfang Dong, Chenqiu Zhao +1
Although Convolutional Neural Networks (CNNs) have achieved promising results in image classification, they still are vulnerable to affine transformations including rotation, trans…
cs.CV2023
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
Chenqiu Zhao, Guanfang Dong, Shupei Zhang +2
Convolutional neural networks have demonstrated impressive results in many computer vision tasks. However, the increasing size of these networks raises concerns about the informati…