2 papers
cs.CV2025
Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directions
Ruonan Lin, Tao Tang, Yongtai Liu +5
Traffic accident prediction and detection are critical for enhancing road safety, and vision-based traffic accident anticipation (Vision-TAA) has emerged as a promising approach in…
cs.CV2025
A super-resolution reconstruction method for lightweight building images based on an expanding feature modulation network
Yi Zhang
This study proposes a lightweight method for building image super-resolution using a Dilated Contextual Feature Modulation Network (DCFMN). The process includes obtaining high-reso…