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DinoV2: Meta’s Open Source State-of-the-art computer vision models
- conview 4y agoQuick overview of DINOv2: https://mchromiak.github.io/articles/2023/Apr/18/DINOv2-Learning-Robust-Visual-Features-without-Supervision/ https://mchromiak.github.io/articles/2023/Apr/18/DINOv2-Lear...
- tomohelix 4y agoWell, can't believe I am saying this but I am glad we still have facebook to open sourcing their models. We have cover texts, images, videos. I wonder what is going on with audio. Once all of these get merged into one combined model, I honestly don't see any differences between a random person on the net and an AI. The only ways we can interact with each other through the internet are those 4 things.
- vinte 4y agoThese are only available for non commercial use. But still good to have.
- commoner 4y ago> Creative Commons Attribution-NonCommercial 4.0 International Public License https://github.com/facebookresearch/dinov2/blob/main/README.md https://github.com/facebookresearch/dinov2/blob/main/README.... Yes, DINOv2 isn't open source, but it is source-available. Hopefully a free and open source alternative can replicate its performance.
- vinte 4y agoalso I couldn't find dataset. But I guess they did mention how they made the dataset. So replicating it should not hard.
- armini 4y agoDINOv2 exists today because of the contributions of countless other maintainers in their dependency tree https://thanks.dev/e/gh/facebookresearch/dependencies https://thanks.dev/e/gh/facebookresearch/dependencies if they are going to license it for non commercial, it would be nice if they actually support their community.
- two_in_one 4y agoThe key question here is: Can AI be creative? We know it can be idiotic. It can be indistinguishable from creative. But not really, or it can?
- wsgeorge 4y agoThe real question is if it is sufficient to be indistinguishable from creative.
- two_in_one 3y agoThe answer is likely 'no'. As turing tests show even _stupid_ chatbots can produce impression of being humans if they are rude enough. Another example: playing chess on superhuman level has nothing to do with being smart.
- rektide 4y agoThe segmentation is so good that one can easily see how the segments correspond to depth, with remarkable precision. Amazing work.
- vinte 4y agoHow can you exactly use these kind models in your application? Do you have to train a layer on top of these?