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BiCross (Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer).
Hi, nice work! Where can I download the dataset used in your paper?
Hi, I really thankful for you to share the code. In trainer_crossdomain.py the train function has set the
eval_mask[:, int(0.40810811 * height):int(0.99189189 * height), int(0.03594771 * width):int(0.96405229 * width)] = 1
and I wonder how to get the float numbers? Also, I noticed that the structures of uncertainty_head and head are nearly the same. I don't understand the reason for this similarity. Looking forward to the reply and appreciate for the paper, your idea is inspiring. Best.
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