Multi-modal pedestrian detection with misalignment based on modal-wise regression and multi-modal IoU

A group of researchers @tokyotech_en have proposed a multi-modal pedestrian detection method that shows comparable performance with state-of-the-art methods and outperforms them for data with significant misalignment. Read more in #SPIE_JEI 👉 https://t.c

Our paper has been published: Napat Wanchaitanawong, Masayuki Tanaka, Takashi Shibata, Masatoshi Okutomi, Multi-modal pedestrian detection with misalignment based on modal-wise regression and multi-modal IoU, J. Electron. Imaging, https://t.co/eEqyTLxriN