Abstract: Recently masked autoencoder ... learning and delivered promising potential in many downstream vision tasks. However, due to the lack of saliency supervision signal in original MAE, almost no ...

Charging electric-vehicle batteries in Ithaca's frigid winter can be tough, and freezing temperatures also decrease the ...

The CAE can eliminate a large part of redundancies in two heterogeneous images and obtain more consistent feature representations. The proposed commonality autoencoder has the ability to discover ...

Long Wei/VCG via Getty Images In terms of charging, the IEA says it's a mixed bag. While public charging stations have doubled globally in the last two years in the U.S. and the United Kingdom ...

aShanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information ...

dDepartment of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China ...

We can notice a few things from these examples, mostly related to the system relying on a single source image, instead of multiple images of the same subject. In the first clip, the man is essentially ...

This repository will soon contain the code for our paper "ClimSat - A Diffusion Autoencoder Model for Climate-conditional Satellite Image Editing" published in Science of Remote Sensing in 2025.

The ability of experts to specialize—some handling text, others images—adds a new layer of capability to AI systems. Recommender systems and multi-task learning platforms have also benefited from MoEs ...