CALIPER: Metric-Grounded Model-Free Recognition of Visually Similar Industrial Parts

arXiv:2609.17820 · cs.CV · Submitted 2026-09-15 · Read on arXiv

cs.CV

Submitted: 2026-09-15

Updated: 2026-09-15

Comments: 5 figures, 5 tables

Code: https://github.com/ultralytics/ultralytics

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 19× in this paper · explained in 1 episode
Benchmark — 5× in this paper · explained in 2 episodes
Adaptation — 4× in this paper · explained in 1 episode
3D Gaussian Splatting — 3× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 3× in this paper
Embeddings — 3× in this paper · explained in 2 episodes
Foundation Model — 3× in this paper · explained in 3 episodes
Foundation Models — 3× in this paper · explained in 7 episodes
Gaussian Splatting — 3× in this paper · explained in 4 episodes
Calibration — 2× in this paper · explained in 7 episodes
Cosine Similarity — 2× in this paper · explained in 3 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Grounding — 2× in this paper · explained in 3 episodes
Meta-learning — 2× in this paper · explained in 2 episodes
6D Object Pose Estimation — 1× in this paper · explained in 1 episode
Ablation — 1× in this paper · explained in 1 episode
CVF International Conference on Computer Vision — 1× in this paper
Data Augmentation — 1× in this paper · explained in 7 episodes
Few-Shot Learning — 1× in this paper · explained in 4 episodes
Instance Segmentation — 1× in this paper · explained in 3 episodes
Model-Agnostic — 1× in this paper · explained in 2 episodes
Pairwise Comparisons — 1× in this paper · explained in 2 episodes

Sources

Learning Transferable Visual Models From Natural Language Supervision

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