Curved Geometric Networks for Visual Anomaly Recognition

2 August 2022

Mehrtash Harandi

Papers citing "Curved Geometric Networks for Visual Anomaly Recognition"

50 / 59 papers shown

Title
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 72 225 0 08 Jun 2022
Towards Open-Set Object Detection and Discovery Jiyang Zheng Weihao Li Jie Hong L. Petersson Nick Barnes ObjD 79 67 0 12 Apr 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 63 19 0 23 Mar 2022
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 64 47 0 03 Dec 2021
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections Ines Chami Albert Gu D. Nguyen Christopher Ré 60 46 0 07 Jun 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 90 782 0 08 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 84 219 0 07 Apr 2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders Jiwoong Park Junho Cho H. Chang J. Choi SSL 47 23 0 30 Mar 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 75 27 0 18 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 123 305 0 27 Feb 2021
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection F. V. Massoli Fabrizio Falchi Alperen Kantarci cSeymanur Akti H. K. Ekenel Giuseppe Amato 60 62 0 09 Dec 2020
Multiresolution Knowledge Distillation for Anomaly Detection Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 132 442 0 22 Nov 2020
Set Augmented Triplet Loss for Video Person Re-Identification Pengfei Fang Pan Ji L. Petersson Mehrtash Harandi 43 10 0 02 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 69 252 0 12 Oct 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 85 604 0 16 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 153 385 0 29 Jun 2020
Classification-Based Anomaly Detection for General Data Liron Bergman Yedid Hoshen 52 351 0 05 May 2020
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation Yingda Xia Yi Zhang Fengze Liu Wei Shen Alan Yuille UQCV 78 153 0 18 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 105 577 0 26 Feb 2020
Iterative energy-based projection on a normal data manifold for anomaly localization David Dehaene Oriel Frigo Sébastien Combrexelle P. Eline 48 145 0 10 Feb 2020
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 189 486 0 25 Nov 2019
Mixed-curvature Variational Autoencoders Ondrej Skopek O. Ganea Gary Bécigneul CML DRL BDL 64 102 0 19 Nov 2019
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 105 219 0 18 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 84 665 0 06 Nov 2019
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 101 291 0 01 Oct 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 55 168 0 14 Aug 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath Basel Alomair OOD SSL 56 948 0 28 Jun 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 205 726 0 07 Jun 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 57 178 0 16 Apr 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection Dong Gong Lingqiao Liu Vuong Le Budhaditya Saha M. Mansour Svetha Venkatesh Anton Van Den Hengel UQCV 54 1,272 0 04 Apr 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 86 295 0 03 Apr 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 121 526 0 20 Mar 2019
Poincaré GloVe: Hyperbolic Word Embeddings A. Tifrea Gary Bécigneul O. Ganea 63 288 0 15 Oct 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers Apoorv Vyas Nataraj Jammalamadaka Xia Zhu Dipankar Das Bharat Kaul Theodore L. Willke OODD 74 247 0 04 Sep 2018
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 81 668 0 05 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 113 435 0 04 Jul 2018
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification Xing Fan Wei Jiang Hao Luo Mengjuan Fei 71 200 0 02 Jul 2018
Embedding Text in Hyperbolic Spaces Bhuwan Dhingra Christopher J. Shallue Mohammad Norouzi Andrew M. Dai George E. Dahl 83 146 0 12 Jun 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 97 606 0 28 May 2018
AVID: Adversarial Visual Irregularity Detection Mohammad Sabokrou M. PourReza Mohsen Fayyaz R. Entezari M. Fathy Jürgen Gall Ehsan Adeli GAN 61 90 0 24 May 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab UQCV MedIm 55 442 0 12 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 264 3,298 0 21 Mar 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 83 592 0 13 Feb 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 120 882 0 26 Nov 2017
Deep Hyperspherical Learning Weiyang Liu Yanming Zhang Xingguo Li Zhen Liu Bo Dai T. Zhao Le Song 64 136 0 08 Nov 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 95 1,310 0 22 May 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu Yandong Wen Zhiding Yu Ming Li Bhiksha Raj Le Song CVBM 234 2,804 0 26 Apr 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 108 2,233 0 17 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 303 8,150 0 15 Mar 2017