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09/01/2023
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module
Although Convolutional Neural Networks (CNNs) have achieved promising re...
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08/29/2023
Bridging Distribution Learning and Image Clustering in High-dimensional Space
Distribution learning focuses on learning the probability density functi...
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08/25/2023
Is Deep Learning Network Necessary for Image Generation?
Recently, images are considered samples from a high-dimensional distribu...
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08/11/2023
Learning Distributions via Monte-Carlo Marginalization
We propose a novel method to learn intractable distributions from their ...
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04/19/2023
Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation
Universal moving object segmentation aims to provide a general model for...
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04/17/2023
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
Convolutional neural networks have demonstrated impressive results in ma...
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04/16/2021