A self-supervised learning approach to deep filter banks for texture recognition 事件

A self-supervised learning approach to deep filter banks for texture recognition arXiv:2605.27843v1 Announce Type: new Abstract: An important challenge in texture recognition is the limited amount of data for training frequently found in real-world applications. In computer vision in general, a successful strategy to mitigate this issue is the use of a pretraining stage where the neural network learns to identify relations between parts of the data in a self-supervised manner. A well-establishe