I Have a Stream: Making Self-Supervised Learning Work on Continuous Video

arXiv:2609.40333 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Project page: https://martinovicivan.github.io/StreamMAE

Terminology

• Fine-Tuning — 21× in this paper · explained in 5 episodes
• Regularization — 13× in this paper · explained in 3 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Cosine Similarity — 10× in this paper · explained in 3 episodes
• Self-Supervised Learning — 10× in this paper · explained in 8 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Representation Learning — 8× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Benchmarking — 4× in this paper · explained in 3 episodes
• Contrastive Learning — 4× in this paper · explained in 5 episodes
• Distillation — 4× in this paper · explained in 2 episodes
• Downstream Tasks — 4× in this paper · explained in 2 episodes
• Continual Learning — 3× in this paper · explained in 2 episodes
• Redundancy — 3× in this paper · explained in 2 episodes
• Self-Distillation — 3× in this paper · explained in 7 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Predictive Coding — 2× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Model Merging — 1× in this paper · explained in 2 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• A global dataset of continuous urban dashcam driving
• Improved Baselines with Momentum Contrastive Learning
• Unique Lives, Shared World: Learning from Single-Life Videos
• Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
• In Pursuit of Pixel Supervision for Visual Pre-training

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