contrastive-reconstruction
solo-learn
| contrastive-reconstruction | solo-learn | |
|---|---|---|
| 1 | 3 | |
| 13 | 1,440 | |
| - | - | |
| 10.0 | 2.5 | |
| almost 3 years ago | 16 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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contrastive-reconstruction
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[D]Use SimCLR as pretraining for image segmentation
How about this: https://github.com/bayer-science-for-a-better-life/contrastive-reconstruction
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?
MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
lightning-transformers - Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning
vissl - VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
self_supervised - Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
CEBRA - Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
detrex - detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
vectorrvnn - Data Driven method for hierarchical grouping of paths in Vector Graphics.