zimenglan

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> Dear @zimenglan-sysu-512, > > Yes, setting data.sampler.train.sample_ratio to `[2, 4]` or `[3, 3]` should work well. The first number represents the number of labeled samples, while the second number...

> Dear @zimenglan-sysu-512 The results you provided are amazing. It would be very helpful if you could share the config and checkpoint. This experiment could be extremely useful for people...

hi @Adamdad why in the fulldata config, the backbone r50 freeze the BN layer, but the 10% config does not ?

+1. also can release the results like top1?

hi @ziqipang any update?

+1, @OmkarThawakar did u solve it? thanks

oh you're right. by the weight, why set `weight_loss_cap` to zero?