Search Results for author: J. Shin

Found 1 papers, 1 papers with code

INSANet: INtra-INter Spectral Attention Network for Effective Feature Fusion of Multispectral Pedestrian Detection

1 code implementation journal 2024 S. Lee, T. Kim, J. Shin, N. Kim, Y. Choi

Extensive experiments demonstrate the effectiveness of the proposed methods, which achieve state-of-the-art performance on the KAIST dataset and LLVIP dataset.

 Ranked #1 on Pedestrian Detection on LLVIP (log average miss rate metric)

Multispectral Object Detection Pedestrian Detection

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