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João P. C. Bertoldo
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2020 – today
- 2024
- [i7]João P. C. Bertoldo, Dick Ameln
, Ashwin Vaidya, Samet Akçay:
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance. CoRR abs/2401.01984 (2024) - 2023
- [c3]Tetiana Gula, João P. C. Bertoldo:
Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection. ICCV (Workshops) 2023: 4112-4120 - [c2]João P. C. Bertoldo, David Arrustico:
Visualization for Multivariate Gaussian Anomaly Detection in Images. IPTA 2023: 1-6 - [c1]Zeyu Jiang, João P. C. Bertoldo, Etienne Decencière:
Heuristic Hyperparameter Choice for Image Anomaly Detection. IPTA 2023: 1-5 - [i6]João P. C. Bertoldo, Santiago Velasco-Forero, Jesús Angulo, Etienne Decencière:
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation. CoRR abs/2301.09602 (2023) - [i5]João P. C. Bertoldo, David Arrustico:
Visualization for Multivariate Gaussian Anomaly Detection in Images. CoRR abs/2307.06052 (2023) - [i4]Zeyu Jiang, João P. C. Bertoldo, Etienne Decencière:
Heuristic Hyperparameter Choice for Image Anomaly Detection. CoRR abs/2307.11197 (2023) - [i3]Tetiana Gula, João P. C. Bertoldo:
Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection. CoRR abs/2308.04944 (2023) - 2022
- [i2]João P. C. Bertoldo, Etienne Decencière:
[Reproducibility Report] Explainable Deep One-Class Classification. CoRR abs/2206.02598 (2022) - 2021
- [i1]João P. C. Bertoldo, Etienne Decencière, David Ryckelynck, Henry Proudhon:
A modular U-Net for automated segmentation of X-ray tomography images in composite materials. CoRR abs/2107.07468 (2021)
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