noahzn / Lite-Mono

[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
MIT License
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I read your paper “For models trained from scratch an initial learning rate of 5e−4 with a cosine learning rate schedule [26] is adopted” But how should I implement it in the code? #140

Closed 3ming closed 5 months ago

noahzn commented 5 months ago

HI, I have shared the source code in this repo. You don't need to implement by yourself.

3ming commented 5 months ago

But I did not add pre-trained weights, set epochs to 35, learning rate to --lr 0.0005 5e-6 31 0.0001 1e-5 31, and in the end, I could not achieve the effect of the paper with δ < 1.25, only reaching 0.86

noahzn commented 5 months ago

In our paper without using pre-trained weights, δ < 1.25 is 0.859. Your 0.86 is already better than the number reported in the paper.

3ming commented 5 months ago

Okay, thank you!