PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO (by facebookresearch)


Basic dino repo stats
9 days ago

facebookresearch/dino is an open source project licensed under Apache License 2.0 which is an OSI approved license.

Dino Alternatives

Similar projects and alternatives to dino

  • GitHub repo suncet

    Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

NOTE: The number of mentions on this list indicates mentions on common posts. Hence, a higher number means a better dino alternative or higher similarity.


Posts where dino has been mentioned. We have used some of these posts to build our list of alternatives and similar projects - the last one was on 2021-04-30.
  • [D] Why Transformers are taking over the Compute Vision world: Self-Supervised Vision Transformers with DINO explained in 7 minutes!
    [Full Explanation Post] [Arxiv] [Project Page]
  • A major part of real-world AI has to be solved to make unsupervised, generalized full self-driving work, as the entire road system is designed for biological neural nets with optical imagers
    Except he is actually talking about the new DINO model created by facebook that was released on friday. Which is a new approach to image transformers for unsupervised segmentation. Here's its github.
  • [D] Paper Explained - DINO: Emerging Properties in Self-Supervised Vision Transformers (Full Video Analysis)
    Code: https://github.com/facebookresearch/dino
  • [R] DINO and PAWS: Advancing the state of the art in computer vision with self-supervised Transformers