1% label and 10% label in Table 4 (Results of contrasitve learning)

[khawar-islam]

Dear @JunlinHan

I hope you are doing well. You have mentioned ImageNet classification result (linear protocol, 1% label and 10% label). I have found the main_lincls.py for linear protocol experiment and main_moco.py for label experiment. However, I'm not able to find where the 1% and 10% label specifications are mentioned in your code. Could you please guide me on this? A prompt response would greatly assist me in my ongoing work.

Regards, Khawar

[JunlinHan]

Hello Khawar,

The ImageNet label is derived from SIMCLR. Please have a look at this link https://github.com/google-research/simclr