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We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization.
3D ShapeNets: A deep representation for volumetric shapes
Wu, Z., Song, S., Khosla, A., Yu, F., Zhang, L., Tang, X., and Xiao, J. (2015) · 1920
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Exploratory Data Analysis
Tukey, J. W. (1977) · 1977
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Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Cohen, N. and Hoshen, Y. (2021) · 2005
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Weakly Supervised Learning for Industrial Optical Inspection
Wieler, M. and Hahn, T. (2007) · 2007
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Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
Masci, J., Meier, U., Cireşan, D., and Schmidhuber, J. (2011) · 2011
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ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E. (2012) · 2012
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Anomaly Detection and Localization in Crowded Scenes
Li, W.-X., Mahadevan, V., and Vasconcelos, N. (2013) · 2013
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Abnormal Event Detection at 150 FPS in MATLAB
Lu, C., Shi, J., and Jia, J. (2013) · 2013
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A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects
Song, K. and Yan, Y. (2013) · 2013
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Generative Adversarial Nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2014) · 2014
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ShapeNet: An Information-Rich 3D Model Repository
Chang, A. X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., Xiao, J., Yi, L., and Yu, F. (2015) · 2015
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Adam: A Method for Stochastic Optimization
Kingma, D. P. and Ba, J. (2015) · 2015
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3D Semantic Parsing of Large-Scale Indoor Spaces
Armeni, I., Sener, O., Zamir, A. R., Jiang, H., Brilakis, I., Fischer, M., and Savarese, S. (2016) · 2016
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Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features
Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J. S., et al. (2017) · 2017
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Defect Detection in SEM Images of Nanofibrous Materials
Carrera, D., Manganini, F., Boracchi, G., and Lanzarone, E. (2017) · 2017
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ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
Dai, A., Chang, A. X., Savva, M., Halber, M., Funkhouser, T., and Nießner, M. (2017) · 2017
Cited alongside, same era.
Introducing MVTec ITODD — A Dataset for 3D Object Recognition in Industry
Drost, B., Ulrich, M., Bergmann, P., Härtinger, P., and Steger, C. (2017) · 2017
Cited alongside, same era.
f-AnoGAN: Fast Unsupervised Anomaly Detection with Generative Adversarial Networks
Schlegl, T., Seeböck, P., Waldstein, S., Langs, G., and Schmidt-Erfurth, U. (2019) · 2019
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Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
Bergmann, P., Fauser, M., Sattlegger, D., and Steger, C. (2020) · 2020
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BOP Challenge 2020 on 6D Object Localization
Hodaň, T., Sundermeyer, M., Drost, B., Labbé, Y., Brachmann, E., Michel, F., Rother, C., and Matas, J. (2020) · 2020
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Learning Memory-Guided Normality for Anomaly Detection
Park, H., Noh, J., and Ham, B. (2020) · 2020
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Baid, U. et al. (2021) · 2021
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Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis
Ulyanov, D., Vedaldi, A., and Lempitsky, V. (2017) · 2017
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3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
Zeng, A., Song, S., Nießner, M., Fisher, M., Xiao, J., and Funkhouser, T. (2017) · 2017
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Surface Defect Saliency of Magnetic Tile
Huang, Y., Qiu, C., Guo, Y., Wang, X., and Yuan, K. (2018) · 2018
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A large, open source dataset of stroke anatomical brain images and manual lesion segmentations
Liew, S.-L., Anglin, J. M., Banks, N. W., et al. (2018) · 2018
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Machine Vision Algorithms and Applications
Steger, C., Ulrich, M., and Wiedemann, C. (2018) · 2018
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Real-World Anomaly Detection in Surveillance Videos
Sultani, W., Chen, C., and Shah, M. (2018) · 2018
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Fishyscapes: A Benchmark for Safe Semantic Segmentation in Autonomous Driving
Blum, H., Sarlin, P.-E., Nieto, J., Siegwart, R., and Cadena, C. (2019) · 2019
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Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
Bengs, M., Behrendt, F., Krüger, J., Opfer, R., and Schlaefer, A. (2021) · 2021
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The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
Bergmann, P., Batzner, K., Fauser, M., Sattlegger, D., and Steger, C. (2021) · 2021
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Multiresolution Knowledge Distillation for Anomaly Detection
Salehi, M., Sadjadi, N., Baselizadeh, S., Rohban, M. H., and Rabiee, H. R. (2021) · 2021
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Unsupervised 3D Brain Anomaly Detection
Simarro Viana, J., de la Rosa, E., Vande Vyvere, T., Robben, D., Sima, D. M., and Investigators, C.-T. P. a. (2021) · 2021
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Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison
Wang, S., Wu, L., Cui, L., and Shen, Y. (2021) · 2021
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., et al. (2015) · 2024
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