Image GPT For Unsupervised Learning Without Domain Knowledge And Image Generation Is Awesome! (Representation Learning Of Images Summer 2020 Feature 1)
3 main points
✔️ Unknown Domain Knowledge Unsupervised Representation Learning Successful, Valuable Proof-of-Concept (PoC), Ignoring the Computational Complexity
✔️ Amazing image generation capability even as a generation model
✔️ SOTA performance with image classification using acquired representations
Generative Pretraining from Pixels
written by
(Submitted on 17 Jun 2020)
Comments: Accepted at ICML2020
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Paper Official Code COMM Code
The writer's special project entitled "Learning to Express Images Summer 2020" introduces various methods of unsupervised learning.
Part 1. Image GPT for domain knowledge-free and unsupervised learning, and image generation is amazing!
Part 2. Contrastive Learning's Two Leading Methods SimCLR And MoCo, And The Evolution Of Each
Part 3. SOTA With Contrastive Learning And Clustering!
Part 4. Questions For Contrastive Learning : "What Makes?"
Part 5. The Versatile And Practical DeepMind Unsupervised Learning Method
Introduction - The Significance of Unsupervised + Expressive Learning
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