self-supervised
Unsupervised-Semantic-Segmentation

self-supervised | Unsupervised-Semantic-Segmentation | |
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2 | 1 | |
129 | 407 | |
3.1% | - | |
0.0 | 1.8 | |
about 2 years ago | over 2 years ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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self-supervised
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[P] solo-learn: a library of self-supervised methods for visual representation learning
W-MSE
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[R] ICLR rejected the submission only for missing large-scale ImageNet experiments
https://github.com/htdt/self-supervised it includes our method, byol and contrastive. I tried to keep the code nice and clean.
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?
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
PASS - The PASS dataset: pretrained models and how to get the data
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
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'
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
