Question about results with BYOL and STRL about co3 HOT 1 CLOSED

Hello Liu Quan,

Thank you for your interest in our work and the meaningful question. For the baselines, we implement them on Huawei's server and it is confidential. I am sorry that I am not able to open-source them. One potential explanation to the phenomenon is that BYOL are conducted on views that built with linear augmentation on point clouds, which are not suitable for contrastive-based methods. Meanwhile STRL builds views with samples at different timestamps, which might be more meaningful for pre-training the backbone. These reasons might result in the score difference.

However, in my opinion, point-level pre-training goal should be better than global pre-text task, especially for fine-grained downstream tasks like detection and segmentation.

Best,
Runjian

from co3.