Abstract Visual Place Recognition (VPR) is a crucial capability for long-term autonomous robots, enabling them to identify previously visited locations using visual information. However, existing ...

Convolutional neural networks can model the early feed-forward components of the MEG evoked response during visual word recognition.

This paper investigates the effects of the explicit recognition of statistical structure and sleep consolidation on the transfer of learned structure to novel stimuli. The results show a striking ...

COSTA MESA, Calif., and REDMOND, Wash. — Feb. 11, 2025 — Microsoft Corp. and Anduril Industries, a leader in defense technology, today announced an expanded partnership to drive the next phase of the ...

Thales today announced a collaboration with the visual recognition technology company Eyedea, enabling the company to deploy and protect its AI-powered and m ...

This list summarizes public available datasets that can be used for visual place recognition. We devide them into multiple categories according to different research topics, for example, long-term, ...

This study compared the performance of visual attention in word recognition tasks when presented with phonological and lexical distractors to characterize the performance of children with ...

Spectroscopy measures visual recognition in key brain regions 12 Jan 2024 Researchers in China explore applicability of NIR spectroscopy to neural observation. Emitter and detector placed on the scalp ...