Depth-Only Open-Vocabulary 3D Semantic Segmentation For Privacy-Preserving Robotic Applications

arXiv:2607.00978 · cs.CV, cs.RO · Submitted 2026-07-01 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-07-01

Updated: 2026-09-17

Terminology

• Consistency — 17× in this paper · explained in 3 episodes
• Uncertainty-Guided Test-Time Optimization — 8× in this paper
• Accuracy — 7× in this paper · explained in 1 episode
• Grounding — 7× in this paper · explained in 3 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 6× in this paper
• Point Clouds — 6× in this paper · explained in 2 episodes
• Instance Segmentation — 4× in this paper · explained in 3 episodes
• Model-Agnostic — 4× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Active Learning — 2× in this paper · explained in 6 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Frozen model — 2× in this paper · explained in 3 episodes
• Self-distillation — 2× in this paper · explained in 6 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Privacy-Preserving Semantic Segmentation from Ultra-Low-Resolution RGB Inputs
• DINOv2: Learning Robust Visual Features without Supervision
• SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
• PP-OCRv6: From 1.5M to 34.5M Parameters, Surpassing Billion-Scale VLMs on OCR Tasks
• Discovering Intersectional Bias via Directional Alignment in Face Recognition Embeddings
• Open-Vocabulary SAM3D: Towards Training-free Open-Vocabulary 3D Scene Understanding

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