BinoGen: Scaling egocentric binocular data for embodied visual perception and learning

arXiv:2609.19881 · cs.CV, cs.MM · Submitted 2026-09-17 · Read on arXiv

cs.CV, cs.MM

Submitted: 2026-09-17

Updated: 2026-09-17

Terminology

• Adaptation — 24× in this paper · explained in 1 episode
• Fine-Tuning — 10× in this paper · explained in 5 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Consistency — 5× in this paper · explained in 3 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Data Augmentation — 4× in this paper · explained in 7 episodes
• Optical Flow — 4× in this paper · explained in 2 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• European Conference on Computer Vision — 3× in this paper
• Loss Function — 3× in this paper · explained in 2 episodes
• Transferability — 3× in this paper · explained in 4 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adam — 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 Focal Loss — 1× in this paper
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• International Conference on Computer Vision — 1× in this paper
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Pascal Visual Object Classes — 1× in this paper
• Quantization — 1× in this paper · explained in 12 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• ShapeNet: An Information-Rich 3D Model Repository
• YOLOv11: An Overview of the Key Architectural Enhancements

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