The goal of few-shot image classification is to learn a classifier that can be well generalized to the unseen classes with a few available labeled samples. One major challenge for few-shot learning is ...

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the Alps ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...

Unlike natural images, medical images are typically accompanied by a scarcity of annotated data, while an abundance of unlabeled cases exists. Addressing these challenges, this paper introduces a ...