📚️️Machine learning

Deep Learning; Neural Networks; Visual Feature Learning; Object Detection and Image Segmentation Algorithms; Multimodal Visual Information Fusion; 3D Vision and Point Cloud Data Learning; Machine Learning Applications in Medical Imaging; Visual Perception under Multi-sensor Fusion; Self-supervised Learning; Reinforcement Learning and Multi-agent Systems; Transfer Learning and Lifelong Learning; Federated Learning and Privacy Protection; Automated Machine Learning (AutoML); Neural Architecture Search (NAS); Adversarial Machine Learning; Model Interpretability; Model Robustness and Security; Quantum Machine Learning

📚️️Large Model Technologies

Generative Large-scale Models; Visual Pretrained Model Architectures; Large-scale Models Integrating Visual and Optical Sensing; Pretrained Language Models; Multimodal Fusion; Training and Optimization of Large-scale Models; Large-scale Distributed Training; Model Compression; Hardware Acceleration and Heterogeneous Computing; Interpretability and Robustness Analysis of Visual Large-scale Models

📚️️Application Practices of Machine Learning and Large Models

Image Enhancement and Restoration Technologies; Object Detection and Semantic Segmentation; 3D Reconstruction and Volumetric Imaging; Multispectral and Hyperspectral Image Analysis; Visual Processing and Analysis of Medical Imaging; Autonomous Driving and Robotic Visual Perception; Natural Language Processing; Computer Vision; Speech Recognition; Speech Synthesis; Multimodal Interaction; Bioinformatics