This important study reports a reanalysis of one experiment of a previously-published report to characterize the dynamics of neural population codes during visual working memory in the presence of ...

Abstract: This paper focuses on few-shot action recognition (FSAR), where the machine ... To tackle this issue, we propose a novel framework, namely, motion-aware visual-language representation ...

"The paper offers a new perspective on understanding the formation of representations in neural networks through the CRH and PAH," says Poggio. "This provides a framework for unifying existing ...

3D self-supervised learning ... representations such as DINOv2 results in enhanced accuracy, emphasizing its capacity to capture distinctive semantic details specific to 3D data. Sonata’s capabilities ...

special exhibitions and film screenings – to name a few. Inspired by the creative season, we are sharing 10 idioms and terms related to visual art, sketching and painting. 7 words to describe ...

SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per ...

@article{wu2024toward, title={Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots}, author={Wu, Renkai and Wang, Xianjin and Liang, Pengchen and Zhang, Zhenyu and Chang, Qing ...