Unsupervised-Classification
Unsupervised-Semantic-Segmentation
| Unsupervised-Classification | Unsupervised-Semantic-Segmentation | |
|---|---|---|
| 2 | 1 | |
| 1,366 | 407 | |
| - | - | |
| 1.4 | 1.8 | |
| over 1 year ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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 ?
Unsupervised-Semantic-Segmentation
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Unsupervised semantic segmentation
Check out these unsupervised masks created in exactly such way in this paper. They are nearly perfect
What are some alternatives?
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
DA-RetinaNet - Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
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.
PASS - The PASS dataset: pretrained models and how to get the data
Transformer-SSL - This is an official implementation for "Self-Supervised Learning with Swin Transformers".
eval_ssl_ssc - [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation