A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
Abstract: In recent years, deep learning methodologies have been increasingly applied to the intricate challenges of visual-inertial odometry (VIO), especially in scenarios with rapid movements and ...
Abstract: Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) is challenging. In this work, inspired by the powerful abilities of deep learning ...
MANILA, Philippines — Students in the Philippines have made slight gains in mathematics but have shown no real progress in reading over the past five years, according to a major regional assessment ...
We plan to release TensorRT accelerated implementation and adapting more matching networks for MAC-VO. If you are interested, please star ⭐ this repo to stay tuned. [Nov 2025] We release the ...
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