Unsupervised-Classification
PASS
| Unsupervised-Classification | PASS | |
|---|---|---|
| 2 | 4 | |
| 1,308 | 257 | |
| - | - | |
| 1.4 | 0.0 | |
| 9 months ago | almost 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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Unsupervised-Classification
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Middle ground dataset between CIFAR and ImageNet [D]
The subsets we used are from here: https://github.com/wvangansbeke/Unsupervised-Classification/tree/master/data/imagenet_subsets
- Any reference or idea about how to train unsupervised CNN model ?
PASS
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[D] Does anyone know a large varied image dataset that do NOT contain humans?
Here is what you are looking for https://github.com/yukimasano/PASS
- PASS
- Pass: A large-scale image dataset that doesn't include any humans
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University of Oxford Researchers Release ‘PASS’ Dataset With 1.4M+ Images (Free From Humans) For Self-Supervised Machine Learning
3 Min Read | Paper | Project | Code
What are some alternatives?
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
auth-source-pass - Integrate Emacs' auth-source with password-store
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
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.
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Transformer-SSL - This is an official implementation for "Self-Supervised Learning with Swin Transformers".