AI’s Memorization Crisis

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Tech Xplore

An AI approach for single-image-based 3D character animation with preserved proportions

In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology ...
EurekAlert!

A review on multi-view learning

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...
EurekAlert!

A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
IEEE

MetaSegNet: Metadata-Collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images

Abstract: Semantic segmentation of remote sensing images plays a vital role in a wide range of Earth Observation applications, such as land-use land-cover (LULC) mapping, environment monitoring, and ...
IEEE

Image Restoration of Latent Diffusion Models Based on Compact A Priori Representation

Abstract: Image restoration is the process of reconstructing the undesired part of an image by algorithm, which is one of the research hotspots in the field of computer vision. In this paper, for the ...