Most existing multimodal named entity recognition (MNER) methods cannot align image and text well, and fail to effectively fuse image-text semantic information, leading to suboptimal MNER accuracy. To ...

Text-Driven Adaptive Semantic Alignment Network for Cross-Scene Hyperspectral Image Classification Land cover in different scenes generally exhibits scene-invariant category semantic, typically ...

Democrats exude an image that’s ‘far to the left of America,’ says Karl Rove Fox News contributor Karl Rove discusses the state of the Democratic Party on 'The Will Cain Show.' ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side.

About ImageReg: A stand-alone toolkit for feature-based 3D image registration and alignment, integrating a variety of well-known algorithms for research and professional use.

Screenshot comparison of the falsely shared image (left) and the CJ News post (right), with corresponding elements highlighted by AFP Cambodia rally image falsely linked to Thailand conflict ...

Stu Sternberg used quantitative wizardry to turn the Tampa Bay Rays into a perennial contender. But the fans were the one equation he could never solve.

Hi! Thanks for the great work! I was wondering — is there any existing code or support for editing existing images, similar to how text-to-image generation (t2i) is already implemented? At the moment, ...