Visual Anomaly and Novelty Detection
Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery-
[pdf]
[bibtex]@InProceedings{Gaus_2023_CVPR, author = {Gaus, Yona Falinie A. and Bhowmik, Neelanjan and Isaac-Medina, Brian K. S. and Shum, Hubert P. H. and Atapour-Abarghouei, Amir and Breckon, Toby P.}, title = {Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2995-3005} }
Anomaly Detection With Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Ziyi and Soltani, Iman and Darve, Eric}, title = {Anomaly Detection With Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2958-2967} }
SANO: Score-Based Diffusion Model for Anomaly Localization in Dermatology-
[pdf]
[bibtex]@InProceedings{Gonzalez-Jimenez_2023_CVPR, author = {Gonzalez-Jimenez, Alvaro and Lionetti, Simone and Pouly, Marc and Navarini, Alexander A.}, title = {SANO: Score-Based Diffusion Model for Anomaly Localization in Dermatology}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2988-2994} }
Denoising Diffusion Models for Out-of-Distribution Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Graham_2023_CVPR, author = {Graham, Mark S. and Pinaya, Walter H.L. and Tudosiu, Petru-Daniel and Nachev, Parashkev and Ourselin, Sebastien and Cardoso, Jorge}, title = {Denoising Diffusion Models for Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2948-2957} }
Self-Supervised Normalizing Flows for Image Anomaly Detection and Localization-
[pdf]
[bibtex]@InProceedings{Chiu_2023_CVPR, author = {Chiu, Li-Ling and Lai, Shang-Hong}, title = {Self-Supervised Normalizing Flows for Image Anomaly Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2927-2936} }
Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Heckler_2023_CVPR, author = {Heckler, Lars and K\"onig, Rebecca and Bergmann, Paul}, title = {Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2917-2926} }
Memory-Efficient and GPU-Oriented Visual Anomaly Detection With Incremental Dimension Reduction-
[pdf]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Teng-Yok and Nagai, Yusuke and Minezawa, Akira}, title = {Memory-Efficient and GPU-Oriented Visual Anomaly Detection With Incremental Dimension Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2908-2916} }
FewSOME: One-Class Few Shot Anomaly Detection With Siamese Networks-
[pdf]
[bibtex]@InProceedings{Belton_2023_CVPR, author = {Belton, Niamh and Hagos, Misgina Tsighe and Lawlor, Aonghus and Curran, Kathleen M.}, title = {FewSOME: One-Class Few Shot Anomaly Detection With Siamese Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2978-2987} }
Multi-Task Learning Based Video Anomaly Detection With Attention-
[pdf]
[arXiv]
[bibtex]@InProceedings{Baradaran_2023_CVPR, author = {Baradaran, Mohammad and Bergevin, Robert}, title = {Multi-Task Learning Based Video Anomaly Detection With Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2886-2896} }
On Advantages of Mask-Level Recognition for Outlier-Aware Segmentation-
[pdf]
[bibtex]@InProceedings{Grcic_2023_CVPR, author = {Grci\'c, Matej and \v{S}ari\'c, Josip and \v{S}egvi\'c, Sini\v{s}a}, title = {On Advantages of Mask-Level Recognition for Outlier-Aware Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2937-2947} }
Are We Certain It's Anomalous?-
[pdf]
[bibtex]@InProceedings{Flaborea_2023_CVPR, author = {Flaborea, Alessandro and Prenkaj, Bardh and Munjal, Bharti and Sterpa, Marco Aurelio and Aragona, Dario and Podo, Luca and Galasso, Fabio}, title = {Are We Certain It's Anomalous?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2897-2907} }
Back to the Feature: Classical 3D Features Are (Almost) All You Need for 3D Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Horwitz_2023_CVPR, author = {Horwitz, Eliahu and Hoshen, Yedid}, title = {Back to the Feature: Classical 3D Features Are (Almost) All You Need for 3D Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2968-2977} }