vix.ing · top · new · best · stats · spec

Hyunho Lee

  1. Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
    2024/12/03 by Daniela Szwarcman, Sujit Roy, Szwarcman, Daniela +64 · 42 citations
    Computer Science · Earth and Planetary Sciences · Environmental Science · #Advanced Computational Techniques and Applications #Atmospheric and Environmental Gas Dynamics #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geological Modeling and Analysis
  2. Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
    2024/01/16 by Wenwen Li, Li, Wenwen, Chia-Yu Hsu +23 · 3 citations
    Earth and Planetary Sciences · Health Professions · #Climate change and permafrost #Computer Vision and Pattern Recognition (cs.CV) #Cryospheric studies and observations #FOS: Computer and information sciences #Indigenous Studies and Ecology
  3. On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
    2023/06/09 by Hojoon Lee, Koanho Lee, Lee, Hojoon +9 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  4. Any-Way Meta Learning
    2024/01/10 by Junhoo Lee, Yearim Kim, Lee, Junhoo +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
  5. Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping
    2024/02/24 by Wenwen Li, Chia-Yu Hsu, Sizhe Wang +10 · 1 voice · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Climate change and permafrost #Cryospheric studies and observations #Smart Materials for Construction