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 ...
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
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 ...
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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