Pose-Aware Multimodal Automatic Tagging for Greek Traditional Music

arXiv:2609.27094 · cs.SD, cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.SD, cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/alexioualex9/Pose-Aware-Multimodal-Automatic-Tagging

Terminology

• AUC — 25× in this paper · explained in 2 episodes
• Music Information Retrieval — 12× in this paper
• Multimodal Fusion — 10× in this paper · explained in 3 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 7× in this paper
• International Society for Music Information Retrieval Conference — 6× in this paper
• Alignment — 5× in this paper · explained in 1 episode
• Embeddings — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Late Fusion — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Audio Spectrogram Transformer — 2× in this paper
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• International Conference on Machine Learning — 2× in this paper
• Latent Space — 2× in this paper · explained in 7 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adaptive Graph — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• European Conference on Computer Vision — 1× in this paper
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Multimodal approach — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

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