Abstract: To address the issue of insufficient generalization ability in traffic classification models caused by distribution discrepancies between domains and the scarcity of labels in the target ...
Abstract: Automatic underground object classification based on deep learning (DL) has been widely used in ground penetrating radar (GPR) fields. However, its excellent performance heavily depends on ...
SHeaP learns to predict head geometry (FLAME parameters) from a single image, by predicting and rendering 2D Gaussians. This repository contains code and models for the FLAME parameter inference only.
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