Work

Can foundation models reliably identify spatial hazards? A case study on curb segmentation

Year: 2025

Type: article

Source: Assistive Technology

DOI: 10.1080/10400435.2025.2490632

Authors: Diwei Sheng, Giles Hamilton-Fletcher, Mahya Beheshti, Chen Feng, John-Ross Rizzo

Institutions: New York University, NYU Langone Health

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Good health and well-being, Reduced inequalities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4409725155

FWCI: 0.362

Cites: 29

Cited by: 1

Related to: 10