Match4Annotate: Cross-Video Annotation Transfer in Ultrasound via Implicit Feature Flow-Guided Matching

arXiv:2603.06471 · cs.CV · Submitted 2026-03-06 · Read on arXiv

cs.CV

Submitted: 2026-03-06

Updated: 2026-09-24

Terminology

• Ablation — 4× in this paper · explained in 1 episode
• Adam — 4× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Feature Extraction — 4× in this paper · explained in 2 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Domain Shift — 3× in this paper · explained in 4 episodes
• Kernel Density Estimation — 3× in this paper
• Optical Flow — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Segmentation Masks — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Activation Function — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• International Conference on Learning Representations — 2× in this paper
• Temporal consistency — 2× in this paper · explained in 2 episodes
• APEX — 1× in this paper · explained in 1 episode
• Ablation study — 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
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Higher-order derivatives — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Percentage of Correct Keypoints — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes

Sources

• Track-On2: Enhancing Online Point Tracking with Memory
• DINOv3
• Neural Fields in Visual Computing and Beyond
• MATCHA:Towards Matching Anything

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