Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU

@article{Wanchaitanawong2021MultiModalPD,
  title={Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU},
  author={Napat Wanchaitanawong and Masayuki Tanaka and Takashi Shibata and M. Okutomi},
  journal={2021 17th International Conference on Machine Vision and Applications (MVA)},
  year={2021},
  pages={1-6}
}
  • Napat Wanchaitanawong, Masayuki Tanaka, +1 author M. Okutomi
  • Published 2021
  • Computer Science
  • 2021 17th International Conference on Machine Vision and Applications (MVA)
The combined use of multiple modalities enables accurate pedestrian detection under poor lighting conditions by using the high visibility areas from these modalities together. The vital assumption for the combination use is that there is no or only a weak misalignment between the two modalities. In general, however, this assumption often breaks in actual situations. Due to this assumption's breakdown, the position of the bounding boxes does not match between the two modalities, resulting in a… Expand

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