Li-Chengyang / IAF-RCNN

"Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection". Pattern Recognition 85C (2019) pp. 161-171

Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection

Editted by Chengyang Li, Zhejiang University.

Detection performance

Note: Since the original annotations of the test set contain many problematic bounding boxes, we use the improved testing annotations provided by Liu et al. to enable a reliable comparison.

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Detection results

Citing our paper

If you find our work useful in your research, please consider citing:

@article{li2019illumination,
  title={Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection},
  author={Li, Chengyang and Song, Dan and Tong, Ruofeng and Tang, Min},
  journal={Pattern Recognition},
  volume={85C},
  pages={161-171},
  year={2019},
  publisher={Elsevier}
}