TSMD: Temporal-Stream Modality Dropout for Robust Video Highlight Detection

arXiv:2609.39051 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/boyuan-ch/TSMD

Project page: https://boyuan-ch.github.io

Terminology

• Robustness — 12× in this paper · explained in 5 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 6× in this paper
• Alignment — 4× in this paper · explained in 1 episode
• Temporal-Stream Modality Dropout — 4× in this paper
• Transformer — 2× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution Shifts
• RoBERTa: A Robustly Optimized BERT Pretraining Approach

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