Try converting convolutional kernels of pretrained network to grayscale and applying to night images

[gsganden]

Camera trap images taken at night use infrared light to create a grayscale image. CNNs pretrained on ImageNet may not handle these images well. One possible approach is to convert the convolutional kernels in one of these networks to grayscale and then finetune on the night images (using a separate network for daytime images).

If straight conversion to grayscale doesn't work, we might try style transfer.

I am not aware of research on applying ImageNet-pretrained models to grayscale or more specifically IR images, so I am not sure that this approach is best.