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KaiqiangXiong / CL-MVSNet

[ICCV2023] CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
MIT License
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Reproduction #9

Open Abcdeabcd opened 3 weeks ago

Abcdeabcd commented 3 weeks ago

Hello author, Thanks for your excellent work! I have some questions about code reproduction to ask you. I retrained for 16 epochs on a single 48GB GPU without using distributed training. The reproduced results were: acc:0.4411, comp:0.4156, overall:0.4284, and these metrics did not meet expectations. Is this due to training with a single GPU? Or could there be other reasons？ I would greatly appreciate your answers to my questions!

KaiqiangXiong commented 3 weeks ago

Ensuring stable model training is quite critical. I suggest you check the loss curve.

Abcdeabcd commented 3 weeks ago

Thank you very much for your answer. I will analyze from the perspective of loss curve.Is it possible that interrupting training and then resuming using the 'resume' parameter could lead to unstable convergence? And Do you think that training with a single 48GB GPU will affect the training effect?