A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations 1. 論文摘要 提出了一個針對圖像表徵的基於contrastive learning 的簡單框架。主要結論：（1） 數據增強的組成對定義有效的預測任務十分重要。（2） 通過在表徵與contrastive loss 之間引入一個非線性變換對於學習的表徵質量有很大
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相關文章
- 1. A Simple Framework for Contrastive Learning of Visual Representations
- 2. Article Analysis(AA): A Simple Framework for Contrastive Learning of Visual Representations
- 3. 論文寫作解讀：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. 讀文獻 Large Scale Learning of General Visual Representations for Transfer 閱讀心得
- 9. Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
- 10. Contrastive Learning Of Structured World Models