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SSNet: Spectral Supplementation Network for Multispectral Pedestrian Detection

Train and Test

  • Prerequisites

　 Basic Python(3.8) package installation.

  • Run test
python test.py
  • Run train
python train.py

Detection Performance

  1. kaist dataset

color and thermal

image-20241018120048825.png

only color

image-20241018120202565.png

only thermal

image-20241018120229326.png

  1. llvip dataset

only color

image-20241018120330753.png

only thermal

image-20241018120339082.png

Remarkably, our method surpasses the CFT method by 0.63% in the mAP metric (mAP50: 97.5, mAP: 63.6), even though the CFT method utilizes both color and thermal modalities simultaneously during the inference phase.