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MoCoV2: Loss Function
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Classroom Contents
Self-Supervision & Contrastive Frameworks - A Vision-Based Review
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- 1 Intro
- 2 SS Learning: Invariant Representations
- 3 Pre-text Tasks: A Deeper Dive
- 4 Contrastive Learning: Entity Discrimination
- 5 Contrastive Learning: Problem
- 6 SimCLR: Simple Contrastive Learning Representatio
- 7 SimCLR: Architecture
- 8 SimCLR: Loss Function
- 9 SimCLR: Findings
- 10 MoCo V2: Momentum Contrast
- 11 MoCo V2: Architecture
- 12 MoCo V2: Main Principle
- 13 MoCoV2: Loss Function
- 14 MoCo V2: Findings
- 15 BYOL: Bootstrap Your Own Latent
- 16 BYOL: Architecture
- 17 BYOL: Main Principle
- 18 BYOL: Findings
- 19 SWAV: Swapping Assignments between Views
- 20 SWAV: Architecture
- 21 SWAV: Loss Function
- 22 SWAV: Main Principle
- 23 SWAV: Multi-crop
- 24 SWAV: Additional Findings
- 25 DINO: Self-Distillation with NO labels
- 26 DINO: Attention-Maps
- 27 VIT (Vision Transformer): Architecture
- 28 DINO: Architecture
- 29 DINO: Loss Function
- 30 DINO: Main Principle
- 31 DINO: Multi-crop
- 32 DINO: Additional Findings Compute
