Taming Modality Entanglement in Continual Audio-Visual Segmentation

arXiv:2510.17234 · cs.MM, cs.AI, cs.CV · Submitted 2025-10-20 · Read on arXiv

cs.MM, cs.AI, cs.CV

Submitted: 2025-10-20

Updated: 2026-09-01

Terminology

• Continual Learning — 28× in this paper · explained in 2 episodes
• Semantic Drift — 19× in this paper · explained in 3 episodes
• Entanglement — 17× in this paper · explained in 3 episodes
• Consistency — 14× in this paper · explained in 3 episodes
• Catastrophic Forgetting — 10× in this paper · explained in 5 episodes
• Collision-based Sample Rehearsal — 10× in this paper
• Multi-modal Sample Selection — 9× in this paper
• Conference on Computer Vision and Pattern Recognition — 8× in this paper
• Continual Audio-Visual Segmentation — 8× in this paper
• Distillation — 8× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Collision-based Multi-modal Rehearsal — 4× in this paper
• Multimodal Learning — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Clustering — 2× in this paper · explained in 2 episodes
• Cooperation — 2× in this paper · explained in 2 episodes
• European Conference on Computer Vision — 2× in this paper
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Pseudo-labels — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• EVISITING C ONTINUAL S EMANTIC S EGMENTATION — 1× in this paper
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Pyramid Vision Transformer — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Shapley values — 1× in this paper · explained in 2 episodes

Sources

• DF Louvain: Fast Incrementally Expanding Approach for Community Detection on Dynamic Graphs

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