Abstract: Masked autoencoders have been extended beyond images, but random masking often fails to capture non-uniform motion regions in inherently disordered and irregular data like point cloud videos ...
An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...
CAS-ViT: Convolutional Additive Self-Attention Vision Transformers for Efficient Mobile Applications
Abstract: Vision Transformers (ViTs) mark a revolutionary advance in neural networks with their token mixer’s powerful global context capability. However, the pairwise token affinity and complex ...
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