Lionel Peer

Hi @swamidass! If the loss is really the only thing to change it would indeed be relatively quick to implement. Give me the weekend to go through the paper in...

> Can you please assign this to me ? Assigned, @maxprogrammer007 ! 🙂

Closing this since we just merged https://github.com/lightly-ai/lightly/pull/1812.

If you would like to take it on @KylevdLangemheen you need to comment, so I can assign it to you! I looked at this [PyTorch implementation](https://github.com/HobbitLong/SupContrast/blob/master/main_supcon.py) – which seems to...

Hi @uhijjawi and thank you for your question! In comparison to supervised learning, SSL indeed uses so-called *pretext tasks* as objectives for the model. One such pretext task may be...

Hi @uhijjawi, I think in order to fully understand what the pretext tasks are, you will have to actually look through the research papers of the individual methods. The links...

Hey @201power ! We are not offering DINOv3 pretraining at this point, but the pretrained checkpoints from Meta are already super performant. Just out of curiosity: Why would you like...

I am a bit confused: Are you trying to just pretrain your YOLO backbone with SSL and you will afterwards attach the YOLO head again? Or do you keep the...

Yes, I would definitely give RT-DETR a shot. Another thing I can recommend if you haven't already checked it out is our other repo LightlyTrain: https://docs.lightly.ai/train/stable/index.html LightlyTrain supports pretraining YOLO...

> I have not tested the dinov3 pretrained model but would love to be able to have the ability to pretrained it on custom specialized scientific datasets. Got it! We...