New FDA approval language for COVID-19 vaccines is sowing confusion about which conditions put people at greater risk for severe disease and who can avoid the inconvenience and cost of off-label ...

Abstract: Deep learning methods rely on large labeled datasets. However, in real-world applications such as medical imaging, only scarcely labeled datasets might be available. Semi-supervised deep ...

To further test the robustness of the model against background interference, we propose an ImageNet background interference test set, ImageNet-Bg, based on the ImageNet validation set with 48,285 ...

then you can perform global matching (e.g., cosine similarity) or local matching (e.g., L2 loss) to obtain the matching results (referred to as the cost volume in this paper). These results can be ...