预示
发表于 2025-4-1 04:44:41
Electrolyte Imbalance and Disturbances,ernatively, the output of classifiers is also fed to HP-Net in a new defined loss, variant of cross entropy loss. The two networks are trained jointly in an adversarial way where, as the classifier learns to improve its predictions, the HP-Net refines its hardness scores. Given the learned hardness
清洗
发表于 2025-4-1 08:06:03
https://doi.org/10.1007/978-3-031-06420-3atasets (Twenty-BN Something-Something, VLOG and EPIC Kitchens) and achieve state of the art results on all of them. Finally, we show visualizations of the interactions learned by the model, which illustrate object classes and their interactions corresponding to different activity classes.
inveigh
发表于 2025-4-1 12:12:00
http://reply.papertrans.cn/24/2342/234196/234196_63.png