Webface-OCC, A New Benchmark For Occlusion Face Recognition
Webface-OCC, A New Benchmark For Occlusion Face Recognition
Face Recognition
List of New AI Articles
Transformers As Universal Computation Engines: Language-pretrained Transformers Help On Non-linguistic Tasks!
Transformers As Universal Computation Engines: Language-pretrained Transformers Help On Non-linguist ...
Transformer
What Is An Appropriate Label Representation In Image Classification?
What Is An Appropriate Label Representation In Image Classification?
Image Recognition
How To Prevent Overfitting In Adversarial Training
How To Prevent Overfitting In Adversarial Training
Adversarial Perturbation
Tongue Image Diagnosis By Deep Learning: Understanding Systemic Disorders From The Tongue! Part2
Tongue Image Diagnosis By Deep Learning: Understanding Systemic Disorders From The Tongue! Part2
Medical
Introducing WIT From Google AI: The Largest Multimodal Image-text Dataset With Coverage Of Over 100+ Languages
Introducing WIT From Google AI: The Largest Multimodal Image-text Dataset With Coverage Of Over 100+ ...
Dataset
A New Self-Supervised Learning Algorithm From Facebook AI: Barlow Twins
A New Self-Supervised Learning Algorithm From Facebook AI: Barlow Twins
Self-supervised Learning
20 Times Larger Than Before! Webface260M, A Very Large Public Dataset For Face Recognition
20 Times Larger Than Before! Webface260M, A Very Large Public Dataset For Face Recognition
Face Recognition
How Is AI Used In Economic And Financial Market Forecasting? Introducing Network Topology-based Enterprise Performance Forecasting ...
How Is AI Used In Economic And Financial Market Forecasting? Introducing Network Topology-based Ente ...
Deep Learning
The Original Transformer Model Still Rules Even After 3 Years!
The Original Transformer Model Still Rules Even After 3 Years!
Transformer
How To Get The Real Value Out Of GPT-3 : Prompt Programming
How To Get The Real Value Out Of GPT-3 : Prompt Programming
Natural Language Processing
Transformers Are Replacing CNNs: Transformers For Medical Image Segmentation.
Transformers Are Replacing CNNs: Transformers For Medical Image Segmentation.
Transformer
Cutblur: What Is The Optimal Data Augmentation For Super-resolution Tasks?
Cutblur: What Is The Optimal Data Augmentation For Super-resolution Tasks?
Super Resolution
Tongue Image Diagnosis By Deep Learning: Understanding Systemic Disorders From The Tongue! Part1
Tongue Image Diagnosis By Deep Learning: Understanding Systemic Disorders From The Tongue! Part1
Image Recognition
Learn How OpenAI Trained Its 12-billion Parameter Text-to-image Generator: DALL-E
Learn How OpenAI Trained Its 12-billion Parameter Text-to-image Generator: DALL-E
Deep Learning
Transformer Is All You Need: They Can Do Anything!
Transformer Is All You Need: They Can Do Anything!
Transformer
Frame Interpolation X MAML: Meta-Learning Of Frame Interpolation Models Based On MAML
Frame Interpolation X MAML: Meta-Learning Of Frame Interpolation Models Based On MAML
Meta-Learning
What Are The Two Quantitative Metrics In Data Augmentation? ~Affinity And Diversity~.
What Are The Two Quantitative Metrics In Data Augmentation? ~Affinity And Diversity~.
Data Augmentation