Star-Fusion: A Multi-modal Transformer Architecture for Discrete Celestial Orientation via Spherical Topology

arXiv:2604.26582 · cs.CV, cs.AI · Submitted 2026-04-29 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-04-29

Updated: 2026-08-31

Terminology

Transformer — 13× in this paper · explained in 2 episodes
Accuracy — 8× in this paper · explained in 1 episode
Feature Extraction — 6× in this paper · explained in 2 episodes
Clustering — 5× in this paper · explained in 2 episodes
Ablation — 3× in this paper · explained in 1 episode
Ablation study — 3× in this paper · explained in 1 episode
Grounding — 3× in this paper · explained in 3 episodes
Transformer Architecture — 3× in this paper · explained in 2 episodes
Computational overhead — 2× in this paper · explained in 2 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Quantization — 2× in this paper · explained in 12 episodes
Right Ascension — 2× in this paper
Adaptation — 1× in this paper · explained in 1 episode
Attitude Determination and Control Systems — 1× in this paper
Closed-Loop Control — 1× in this paper · explained in 3 episodes
Consistency — 1× in this paper · explained in 3 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Gradient Flow — 1× in this paper · explained in 2 episodes
Latent Representation — 1× in this paper · explained in 2 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Point Clouds — 1× in this paper · explained in 2 episodes
Pseudo-labeling — 1× in this paper · explained in 3 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Temporal consistency — 1× in this paper · explained in 2 episodes

Terminology

Related papers