Deep Anomaly Detection Using Geometric Transformations

28 May 2018

Papers citing "Deep Anomaly Detection Using Geometric Transformations"

44 / 94 papers shown

Title
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification Long Gao Chang Liu Dooman Arefan A. Panigrahy M. Zuley Shandong Wu VLM 23 2 0 20 Nov 2021
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination Jongmin Yu Hyeontaek Oh Minkyung Kim Junsik Kim 22 10 0 28 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 34 273 0 18 Oct 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection Marija Ivanovska Vitomir Štruc 20 2 0 28 Sep 2021
Visual Anomaly Detection for Images: A Survey Jie Yang Rui Xu Zhiquan Qi Yong Shi 25 35 0 27 Sep 2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection Zhiwei Zhang Yu Dong Hanyu Peng Shifeng Chen 29 0 0 15 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 27 5 0 14 Sep 2021
Generatively Augmented Neural Network Watchdog for Image Classification Networks Justin Bui Glauco A. Amigo R. Marks 34 0 0 07 Sep 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu Tong Wei Jianwen Jiang Chaojie Mao Mingqian Tang Yu-Feng Li 11 80 0 25 Aug 2021
Image-based Insider Threat Detection via Geometric Transformation Dongyang Li Lin Yang Hongguang Zhang Xiaolei Wang Linru Ma Junchao Xiao 21 12 0 24 Aug 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 21 34 0 18 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 44 18 0 09 Aug 2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection Jinlei Hou Yingying Zhang Qiaoyong Zhong Di Xie Shiliang Pu Hong Zhou 27 142 0 28 Jul 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 18 4 0 02 Jun 2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 30 6 0 20 Apr 2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers Andrei Manolache Florin Brad Elena Burceanu UQCV 30 33 0 12 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 330 0 22 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 23 214 0 07 Mar 2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays A. Spahr Behzad Bozorgtabar Jean-Philippe Thiran 19 16 0 19 Feb 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 27 96 0 25 Jan 2021
ESAD: End-to-end Deep Semi-supervised Anomaly Detection Chaoqin Huang Fei Ye Peisen Zhao Ya-Qin Zhang Yanfeng Wang Qi Tian 27 12 0 09 Dec 2020
Self-Supervised Out-of-Distribution Detection in Brain CT Scans Abinav Ravi Venkatakrishnan S. T. Kim R. Eisawy Franz MJ Pfister Nassir Navab OOD 19 22 0 10 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 14 247 0 12 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 28 4 0 05 Oct 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation S. Bucci Mohammad Reza Loghmani Tatiana Tommasi 52 142 0 24 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 36 383 0 29 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 27 236 0 28 May 2020
Transformation Based Deep Anomaly Detection in Astronomical Images E. Reyes P. Estévez 24 11 0 15 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 34 16 0 05 May 2020
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition Mohammad Reza Loghmani Yu Sun Eric Tzeng Trevor Darrell Alexei A. Efros Markus Vincze 29 33 0 21 Apr 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 28 47 0 16 Mar 2020
Hierarchical Models: Intrinsic Separability in High Dimensions Wen-Yan Lin 9 0 0 15 Mar 2020
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder Natasa Sarafijanovic-Djukic Jesse Davis 22 24 0 12 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 17 159 0 28 Feb 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 22 155 0 24 Feb 2020
Anomaly Detection by One Class Latent Regularized Networks Chengwei Chen Pan Chen Haichuan Song Y. Tao Yuan Xie Shouhong Ding Lizhuang Ma GAN 14 0 0 05 Feb 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification Penny Chong Lukas Ruff Marius Kloft Alexander Binder 29 35 0 24 Jan 2020
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks Neema Davis G. Raina Krishna Jagannathan AI4TS 8 26 0 20 Nov 2019
Out-of-domain Detection for Natural Language Understanding in Dialog Systems Yinhe Zheng Guanyi Chen Minlie Huang 18 121 0 09 Sep 2019
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques Byeongmoon Ji Hyemin Jung Jihyeun Yoon Kyungyul Kim Younghak Shin UQCV 11 24 0 30 Aug 2019
Exploring Deep Anomaly Detection Methods Based on Capsule Net Xiaoyan Li I. Kiringa T. Yeap Xiao-Dan Zhu Yifeng Li UQCV 3DPC 29 20 0 15 Jul 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition Poojan Oza Vishal M. Patel 16 35 0 07 Mar 2019
Revealing quantum chaos with machine learning Y. Kharkov V. E. Sotskov A. A. Karazeev E. Kiktenko A. Fedorov AI4CE 17 27 0 25 Feb 2019