Search Results for author:
Found 2 papers, 1 papers with code
GDA: Generalized Diffusion for Robust Test-time Adaptation
For vision tasks, recent studies have shown that test-time adaptation employing diffusion models can achieve state-of-the-art accuracy improvements on OOD samples by generating new samples that align with the model's domain without the need to modify the model's weights.
MEBOW: Monocular Estimation of Body Orientation In the Wild
We present COCO-MEBOW (Monocular Estimation of Body Orientation in the Wild), a new large-scale dataset for orientation estimation from a single in-the-wild image.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
