DiffCSE
Unsupervised-Semantic-Segmentation
| DiffCSE | Unsupervised-Semantic-Segmentation | |
|---|---|---|
| 3 | 1 | |
| 286 | 386 | |
| - | - | |
| 0.0 | 1.8 | |
| over 1 year ago | almost 2 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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DiffCSE
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[N] MIT/Meta AI released their new SOTA unsupervised sentence embedding model "DiffCSE"
Code for https://arxiv.org/abs/2204.10298 found: https://github.com/voidism/DiffCSE
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?
PromCSE - Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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'
inltk - Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
SimCSE - [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
PASS - The PASS dataset: pretrained models and how to get the data
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.