Augmenting Visual Anomaly Detection with Automated Interpretability

arXiv:2609.33818 · cs.CV, cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Calibration — 76× in this paper · explained in 7 episodes
• Interpretability — 16× in this paper · explained in 15 episodes
• Reconstruction Error — 16× in this paper · explained in 2 episodes
• Ablation — 13× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• Embeddings — 12× in this paper · explained in 2 episodes
• Robustness — 12× in this paper · explained in 5 episodes
• Sparsity — 9× in this paper · explained in 4 episodes
• Adam — 6× in this paper · explained in 2 episodes
• Linear probe — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Generative AI — 4× in this paper · explained in 2 episodes
• Explainability — 3× in this paper · explained in 3 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Multimodal Large Language Model — 3× in this paper
• Sparse Autoencoders (SAEs) — 3× in this paper · explained in 3 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Activation Addition — 1× in this paper · explained in 1 episode
• Additive Decomposition — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Winter Conference on Applications of Computer Vision — 1× in this paper

Sources

• Toy Models of Superposition
• Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
• Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos

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