SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos

arXiv:2602.05638 · cs.CV · Submitted 2026-02-05 · Read on arXiv

cs.CV

Submitted: 2026-02-05

Updated: 2026-09-22

Terminology

• Foundation Model — 33× in this paper · explained in 3 episodes
• Benchmark — 23× in this paper · explained in 2 episodes
• Foundation Models — 19× in this paper · explained in 7 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Distillation — 12× in this paper · explained in 2 episodes
• Regularization — 11× in this paper · explained in 3 episodes
• Self-Distillation — 11× in this paper · explained in 7 episodes
• Self-Supervised Learning — 7× in this paper · explained in 8 episodes
• Spatiotemporal Feature Diversity Regularization — 6× in this paper
• Consistency — 5× in this paper · explained in 3 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Domain Shift — 4× in this paper · explained in 4 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Latent Space — 4× in this paper · explained in 7 episodes
• Downstream Tasks — 3× in this paper · explained in 2 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Latent Representations — 3× in this paper · explained in 3 episodes
• Redundancy — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Average Precision — 2× in this paper
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• European Conference on Computer Vision — 1× in this paper
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• F1 Score — 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
• Tokenization — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• DINOv2: Learning Robust Visual Features without Supervision
• General surgery vision transformer: A video pre-trained foundation model for general surgery
• Revisiting Feature Prediction for Learning Visual Representations from Video
• V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
• InternVideo-Next: Towards General Video Foundation Models without Video-Text Supervision
• DINOv3
• Scaling up self-supervised learning for improved surgical foundation models
• The TUM LapChole dataset for the M2CAI 2016 workflow challenge
• PraNet-V2: Dual-Supervised Reverse Attention for Medical Image Segmentation

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