| tags: [flight-trajectory, jepa, self-supervised, representation-learning] | |
| license: apache-2.0 | |
| # Flight-JEPA | |
| Multi-scale JEPA for flight trajectory representation learning. | |
| ## Key Features | |
| - Event-aware curvature-based segmentation → semantic tokens | |
| - Multi-scale: Local (patch) + Global (segment) JEPA | |
| - VICReg collapse prevention for low-entropy cruise data | |
| - Curriculum adaptive masking (random → maneuver-biased) | |
| - 9-dim features: [x,y,z, u_x,u_y,u_z, r, sin_θ, cos_θ] | |
| ## Architecture | |
| - Encoder: 3L Transformer, d=256, 8h | |
| - Predictor: 2L bottleneck, d=128 | |
| - EMA decay: 0.998 | |
| - Params: 4,867,456 | |
| ## Results on ATFMTraj/RKSIa | |
| - Classification ACC: 0.9128 | |
| - See metrics.json for full results | |
| ## Built on | |
| TS-JEPA, Flight2Vec, ATSCC, VICReg, I-JEPA | |