Acknowledge license to access the repository

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

DriverGaze360: Omnidirectional Driver Attention with Object-Level Guidance

This repository hosts the pretrained weights for DriverGaze360-Net.

Available Checkpoints

Checkpoint Training Dataset Input Size (H × W) Notes
drivergaze360.pt DriverGaze360 224 × 1120 Panoramic/omnidirectional input
ondada.pt DADA-2000 224 × 224 Standard front-facing camera input

Citation

If you use these weights in your research, please cite:

@article{govil_2025_cvpr,
  title        = {DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance},
  author       = {Shreedhar Govil and Didier Stricker and Jason Rambach},
  year         = {2025},
  eprint       = {2512.14266},
  archivePrefix= {arXiv},
  primaryClass = {cs.CV},
  url          = {https://arxiv.org/abs/2512.14266}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Dataset used to train dfki-av/drivergaze360-net

Collection including dfki-av/drivergaze360-net

Paper for dfki-av/drivergaze360-net