AdCo Alternatives
Similar projects and alternatives to AdCo based on common topics and language
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Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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Unsupervised-Semantic-Segmentation
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
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DiffCSE
Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
AdCo reviews and mentions
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[D] Negative examples are still useful in self-supervised learning even after the BYOL, and they are directly trainable end-to-end with a backbone.
The paper showed that with only 8196 negatives, the AdCo can achieve better performance than the SOTA self-supervised methods (MoCo V2, SimCLR, AdCo and SWAV) with fewer epochs, thus making the AdCo a very efficient self-supervised learning algorithm to pretrain a backbone. The source code has been released at https://github.com/maple-research-lab/AdCo.
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[R] AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
The source code is available at https://github.com/maple-research-lab/AdCo/. The paper will be presented at CVPR 2021.
Stats
maple-research-lab/AdCo is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of AdCo is Python.
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