AI Research
Publications
AI-centric approach is what makes us different
- AI
Polygonal Point Set Tracking
- AI
Weakly-Supervised Physically Unconstrained Gaze Estimation
- AI
Two-Phase Learning for Weakly Supervised Object Localization
- AI
Multi-scale Pyramid Pooling for Deep Convolutional Representation
Top Rank
in A.I Competitions
AI-centric Approach
We target 99% accuracy, always
We believe that the medical field is a special area that requires an utmost level of accuracy. Even a difference by 1% in accuracy can make life-saving changes.
Lunit’s goal is to always achieve 99%. And we use our unique, state-of-the-art AI training technology to achieve unprecedented accuracy.
Technology Partners
Lunit AI Publications
- AI
Reducing Domain Gap by Reducing Style Bias
- AI
Polygonal Point Set Tracking
- AI
Weakly-Supervised Physically Unconstrained Gaze Estimation
- AI
Learning Visual Context by Comparison
- AI
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction
- AI
SRM: A Style-based Recalibration Module for Convolutional Neural Networks
- AI
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
- AI
Learning Loss for Active Learning