problems about experiment settings in the paper

[beyondbatman-master]

Your work is very interesting, and I have two questions regarding the experiments in your paper:

1. In the paper, you compared the approach of using image enhancement followed by object detection (such as HE, GLADNet, Retinex-Net, EnlightenGAN, Zero-DCE, SID, and REDI). Were these methods using the checkpoints provided by their original papers, or were they retrained on the noisy COCO dataset or trained from scratch?

2. The Enhance + Denoise and Integrated Enhance + Denoise methods use enhancement networks for RGB images and RAW images(HE, GLADNet, Retinex-Net, EnlightenGAN, Zero-DCE for RGB&SID, and REDI for RAW), respectively. During inference, are the enhancement networks still conducted on images in the RGB domain and RAW domain, respectively?

Looking forward to your reply.

[Linwei-Chen]

Thanks for your interest!

1. We prefer to use its original checkpoint.
2. Yes, we use their oirignal input domain.