Abstract: Recent studies have integrated convolutions into transformers to introduce inductive bias and improve generalization performance. However, the static nature of conventional convolution ...
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A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
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 ...
Visual (Single) Object Tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task can be ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
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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