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View Code? Open in Web Editor NEW[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
Hi, thank you for providing your repository. This is a great work!
Did you perform an ablation study on the batch size? I'm wondering if this method also works in a small batch size since I'm working on 3D data and I can't have a big batch size (in my case, 256 is considered big)
Thank you!
这个文件main_rnc.py 没有 val函数,此外,您的论文提到 MSE之外 R^2 等指标,也没有在代码中实现。数据集有好几个,目前只有agedb这个,想要一下作者完整版本code,谢谢~
论文图的年龄回归问题,是把anchor的neighbor作为positive pair。但是在实现的时候,用的是anchor的random transform当作positive pair。。因此,最终的效果提升怎么排除是来自于图像数据增强呢?
Hello authors,
Thank you for the great work.
I am interested in the continuous feature pattern learned as visualized in the paper. Would it be possible to release code for processing the SkyFinder dataset and feature visualization?
Thanks for considering!
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