Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light ...

Abstract: Low-resolution fine-grained image classification has recently made significant progress, largely thanks to the super-resolution techniques and knowledge distillation methods. However, these ...

Abstract: In certain specialized domain scenarios, the collection of image data is rendered time-consuming and costly due to a variety of unique issues, making the assembly of extensive image datasets ...

A team, led by researchers at Bigelow Laboratory's Single Cell Genomics Center, have published the first quantitative ...

Overall framework of STiL. STiL encodes image-tabular data using $\phi$, decomposes modality-shared and -specific information through DCC $\psi$ (a), and outputs ...

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

Hi, thank you for your great work! I would like to use DINOv3 to create a new classification category from a few images, so that I can perform inference to recognize similar objects. Could you please ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most ...