Xuming He

Part-aware Prototype Network for Few-shot Semantic Segmentation

2020 · arXiv (Cornell University)

Few-shot semantic segmentation aims to learn to segment new object classes with only a few annotated examples, which has a wide range of real-world applications. Most existing methods either focus on the restrictive setting of …

Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations

2024

Training model-free intelligent agents in complex real-world scenarios using reinforcement learning (RL) often necessitates simulation-based environments due to high physical expenses. However, when simulation takes a long time, e.g., in an unsteady 3D fluid simulation …