self_supervised
solo-learn


self_supervised | solo-learn | |
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1 | 3 | |
318 | 1,461 | |
- | 0.9% | |
0.0 | 0.0 | |
almost 2 years ago | 16 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT License |
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self_supervised
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[D]Use SimCLR as pretraining for image segmentation
You may want to check out pip install self-supervised https://github.com/KeremTurgutlu/self_supervised which benchmarks several selfsupervised methods, here's a SimCLR tutorial https://keremturgutlu.github.io/self_supervised/01%20-%20training_simclr_iwang.html
solo-learn
- [D]Use SimCLR as pretraining for image segmentation
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[D] State-of-the-Art for Self-Supervised (Pre-)Training of CNN architectures (e.g. ResNet)?
Hello, I lost a bit of touch to the current SOTA of self-supervised pretraining of CNNs, in particular ResNet. I found this repository https://github.com/vturrisi/solo-learn that has many methods implemented but I'm not really sure where to start. My goal is to pretrain a ResNet backbone on a decently large amount of image data that comes from a certain domain and after that fine-tune it for different downstream tasks (classification, segmentation, object detection) on a subset of the data I have labels for.
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[P] Solo-learn 1.0.3: new methods, support for transformer architectures, better evaluation, improved docs, and additional results.
Hi Reddit, the solo-learn team is back again with interesting news about its SSL library.
What are some alternatives?
contrastive-reconstruction - Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
vissl - VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
CEBRA - Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
lightning-transformers - Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
detrex - detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
vectorrvnn - Data Driven method for hierarchical grouping of paths in Vector Graphics.
pytorch-forecasting - Time series forecasting with PyTorch

