A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations 1. 论文摘要 提出了一个针对图像表征的基于contrastive learning 的简单框架。主要结论：（1） 数据增强的组成对定义有效的预测任务十分重要。（2） 通过在表征与contrastive loss 之间引入一个非线性变换对于学习的表征质量有很大
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相关文章
- 1. A Simple Framework for Contrastive Learning of Visual Representations
- 2. Article Analysis(AA): A Simple Framework for Contrastive Learning of Visual Representations
- 3. 论文写作解读：A Simple Framework for Contrastive Learning of Visual Representations
- 4. A Vision for Making Deep Learning Simple
- 5. Learning deep representations of fine-grained visual descriptions
- 6. a simple machine learning system demo, for ML study.
- 7. End-to-End Learning of Deep Visual Representations for Image Retrieval
- 8. 读文献 Large Scale Learning of General Visual Representations for Transfer 阅读心得
- 9. Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
- 10. Contrastive Learning Of Structured World Models