Tag: self-supervised learning
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Mean MAE with Flow-Mixing for Encrypted Traffic Classification
Discover how Mean MAE with Flow-Mixing improves encrypted traffic classification using self-supervised learning and multi-granularity context.
AutoWorld: Scalable Multi-Agent Traffic Simulation Using Self-Supervised Models
Discover AutoWorld, a scalable multi-agent traffic simulation framework using self-supervised world models and unlabeled LiDAR data for realistic autonomou...
UMI-Underwater: Autonomous Learning for Underwater Manipulation
Discover UMI-Underwater, a system enabling autonomous underwater robotic manipulation using self-supervised learning and knowledge transfer from on-land de...
Advanced Cardiac Time Series Model Using Masked Latent Attention
Discover how masked latent attention improves ECG analysis by modeling cross-lead connections for better cardiac diagnosis and prediction accuracy.
Discovering Object-Centric Features in Self-Supervised Vision Transformers
Explore how Object-DINO uncovers distributed object-centric features in self-supervised Vision Transformers to boost unsupervised object discovery and redu...