Publications in anomaly

• Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition Letters, 2024
• Reconstruction by inpainting for visual anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition, Elsevier, 2021
• TransFusion – A Transparency-Based Diffusion Model for Anomaly Detection

  Matic Fučka, Vitjan Zavrtanik, and Danijel Skočaj

  ECCV 2024, 2024
• Aktivno učenje z mešanimi oznakami za detekcijo površinskih napak z globokimi nevronskimi mrežami

  Domen Tabernik and Danijel Skočaj

  ERK, 2024
• Anomalous Sound Detection by Feature-Level Anomaly Simulation

  Vitjan Zavrtanik, Matija Marolt, Matej Kristan, and Danijel Skočaj

  ICASSP 2024, 2024
• Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  WACV 2024, 2024
• DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  ECCV 2022, 2022
• Analiza robustnosti globokih nenadzorovanih metod za detekcijo vizualnih anomalij

  Jakob Božič, Vitjan Zavrtanik, and Danijel Skočaj

  ERK, 2021
• DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  ICCV 2021, 2021