Moving6DPoSe: A Multimodal Database for Monocular 6D Pose Estimation and Segmentation of Moving Objects

arXiv:2609.26161 · cs.CV · Submitted 2026-08-09 · Read on arXiv

cs.CV

Submitted: 2026-08-09

Updated: 2026-08-09

Terminology

• Calibration — 8× in this paper · explained in 7 episodes
• 6D Object Pose Estimation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Point Clouds — 2× in this paper · explained in 2 episodes
• Segmentation Masks — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Mask Generation — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Segment Anything Model — 1× in this paper
• Segment Anything Model (SAM) — 1× in this paper · explained in 2 episodes

Sources

• MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
• Event-based Motion & Appearance Fusion for 6D Object Pose Tracking
• DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation

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