Abstract: Few-shot domain-adaptive object detection (FSDAOD) aims to transfer knowledge from a source domain to a target domain with limited labeled data, which faces severe challenges in the field of ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to language for AI because it’s relatively easy to learn and has a massive library of ...

Abstract: This paper presents a novel approach that leverages two models to integrate features from numerous unlabeled images, addressing the challenge of semi-supervised salient object detection ...

‘Live tissue training’, using an anaesthetised live animal substituted for a human patient for the practice of surgical skills, is a controversial topic. Although simulator technologies have developed ...

Auditory perception fundamentally depends on the analysis of temporal and spectral information. While spectral integration of frequency components supports timbre perception, accurate encoding and ...

Existing zero-shot temporal action detection (ZS-TAD) methods predominantly use fully supervised or unsuper- vised strategies to recognize unseen activities. However, these training-based methods are ...

While Yann LeCun was still Meta’s Chief AI Scientist, he proposed the Joint-Embedding Predictive Architecture, or JEPA, which essentially teaches an AI to infer the meaning of missing data rather than ...