
Active Learning
Active Learning is a key idea in neural vision technologies: it covers smart sample selection, and it commonly appears in uncertainty + diversity workflows.
NVK Index
A 50-term glossary covering neural vision technologies, neural AI, XR (VR/AR), and neural formal verification for NVK.XYZ™.
Glossary terms for neural vision, computer vision workflows, and Neural Vision Kit (NVK) concepts. #NVK

Active Learning is a key idea in neural vision technologies: it covers smart sample selection, and it commonly appears in uncertainty + diversity workflows.

Adversarial Examples is a key idea in neural vision technologies: it covers small perturbation attacks, and it commonly appears in robustness testing workflows.

Anomaly Detection is a key idea in neural vision technologies: it covers rare pattern detection, and it commonly appears in defect inspection workflows.

Attention Mechanism is a key idea in neural vision technologies: it covers selective focus on features, and it commonly appears in better detection and segme...

Branch-and-Bound (BaB) is a key idea in neural vision technologies: it covers space splitting, and it commonly appears in tight bounds workflows.

Calibration is a key idea in neural vision technologies: it covers confidence correctness alignment, and it commonly appears in thresholding workflows.

Certified Robustness is a key idea in neural vision technologies: it covers provable stability, and it commonly appears in certificates/bounds workflows.

Computer Vision is a key idea in neural vision technologies: it covers machine perception from pixels, and it commonly appears in classical geometry plus dee...

Contrastive Learning is a key idea in neural vision technologies: it covers pull positives together, and it commonly appears in push negatives apart workflows.

Convolutional Neural Network (CNN) is a key idea in neural vision technologies: it covers convolutions for local features, and it commonly appears in fast in...