Muhammad Bilal

Lean GLASS: Efficient Edge-Deployable Visual Anomaly Detection with a MobileNetV2 Backbone and Learnable Feature-Stream Gating

Visual anomaly detection has achieved very high accuracy on standard benchmarks, yet state-of-the-art synthesis-based detectors such as GLASS rely on heavy backbones (e.g., WideResNet-50) that are ill-suited for deployment on resource-constrained edge platforms. This study invest...