Learning Deep Features for One-Class Classification

16 January 2018

Papers citing "Learning Deep Features for One-Class Classification"

50 / 116 papers shown

Title
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection Marija Ivanovska Vitomir Štruc 25 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
Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies Taeyeong Choi Owen Would A. Gomez Grzegorz Cielniak 28 16 0 21 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
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 26 35 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
P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening Yurong Chen 56 0 0 09 Aug 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks Guansong Pang Choubo Ding Chunhua Shen Anton Van Den Hengel 21 87 0 01 Aug 2021
Margin-Aware Intra-Class Novelty Identification for Medical Images Xiaoyuan Guo J. Gichoya S. Purkayastha Imon Banerjee 33 4 0 31 Jul 2021
Unsupervised Outlier Detection using Memory and Contrastive Learning Ning Huyan Dou Quan Xiangrong Zhang Xuefeng Liang Jocelyn Chanussot L. Jiao 34 22 0 27 Jul 2021
Generalized One-Class Learning Using Pairs of Complementary Classifiers A. Cherian Jue Wang VLM 11 1 0 24 Jun 2021
Mean-Shifted Contrastive Loss for Anomaly Detection Tal Reiss Yedid Hoshen 16 115 0 07 Jun 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
Can self-training identify suspicious ugly duckling lesions? Mohammadreza Mohseni J. Yap William Yolland A. Koochek S. Atkins 16 12 0 15 May 2021
DoS and DDoS Mitigation Using Variational Autoencoders Eirik Molde Bårli Anis Yazidi E. Herrera-Viedma H. Haugerud AAML DRL 8 15 0 14 May 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 82 287 0 20 Apr 2021
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation J. Song Kyeongbo Kong Ye In Park Suk-Ju Kang 19 3 0 31 Mar 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 27 13 0 15 Feb 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
A Joint Representation Learning and Feature Modeling Approach for One-class Recognition Pramuditha Perera Vishal M. Patel 13 0 0 24 Jan 2021
Dense outlier detection and open-set recognition based on training with noisy negative images Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 36 30 0 22 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 49 112 0 08 Jan 2021
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation Jie Yang Yong Shi Zhiquan Qi UQCV 109 115 0 13 Dec 2020
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning Pietro Spadaccino F. Cuomo 16 19 0 02 Dec 2020
FROCC: Fast Random projection-based One-Class Classification Arindam Bhattacharya Sumanth Varambally Amitabha Bagchi Srikanta J. Bedathur VLM 11 2 0 29 Nov 2020
Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors Ryoya Katafuchi T. Tokunaga 6 11 0 29 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 21 247 0 12 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 20 780 0 24 Sep 2020
$σ^2$ R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions Riccardo La Grassa I. Gallo Nicola Landro 6 0 0 18 Sep 2020
Improved Robustness to Open Set Inputs via Tempered Mixup Ryne Roady Tyler L. Hayes Christopher Kanan VLM OOD AAML 16 5 0 10 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 23 30 0 02 Sep 2020
$$\ell_p$-Norm Multiple Kernel One-Class Fisher Null-Space$ $\ell_p$ -Norm Multiple Kernel One-Class Fisher Null-Space Shervin Rahimzadeh Arashloo 18 0 0 19 Aug 2020
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization Tawsifur Rahman Amith Khandakar M. A. Kadir K. R. Islam Khandaker F. Islam ... Tahir Hamid M. Islam Z. Mahbub M. Ayari M. Chowdhury 14 357 0 29 Jul 2020
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks Anjith George S´ebastien Marcel CVBM AAML 15 90 0 22 Jul 2020
Anomaly Detection-Based Unknown Face Presentation Attack Detection Yashasvi Baweja Poojan Oza Pramuditha Perera Vishal M. Patel CVBM AAML 17 44 0 11 Jul 2020
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network Ademola Oladosu Tony Xu Philip Ekfeldt Brian A. Kelly M. Cranmer S. Ho A. Price-Whelan Gabriella Contardo 13 1 0 08 Jul 2020
Improving auto-encoder novelty detection using channel attention and entropy minimization Miao Tian Dongyan Guo Ying Cui Xiang Pan Shengyong Chen 9 4 0 03 Jul 2020
Fast Training of Deep Networks with One-Class CNNs A. M. Hafiz G. M. Bhat CVBM 22 3 0 28 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 24 89 0 30 May 2020
Towards Anomaly Detection in Dashcam Videos S. Haresh Sateesh Kumar M. Zia Quoc-Huy Tran 27 30 0 11 Apr 2020
Deep Learning and Open Set Malware Classification: A Survey Jingyun Jia 13 2 0 08 Apr 2020
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data Riccardo La Grassa I. Gallo Nicola Landro 6 2 0 05 Apr 2020
OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning Trees Riccardo La Grassa I. Gallo Nicola Landro 6 8 0 30 Mar 2020
Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseases Ayaka Suzuki Yoshiro Suzuki MedIm 16 3 0 13 Jan 2020
Image-Based Feature Representation for Insider Threat Classification R. Gayathri Atul Sajjanhar Yong Xiang 20 39 0 13 Nov 2019
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? Ryne Roady Tyler L. Hayes Ronald Kemker Ayesha Gonzales Christopher Kanan OODD 25 20 0 30 Oct 2019
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output Vahdat Abdelzad Krzysztof Czarnecki Rick Salay Taylor Denouden Sachin Vernekar Buu Phan OODD 24 45 0 23 Oct 2019
Meta-learning for fast classifier adaptation to new users of Signature Verification systems L. G. Hafemann R. Sabourin Luiz Eduardo Soares de Oliveira AAML 21 25 0 17 Oct 2019
Multi-stage Deep Classifier Cascades for Open World Recognition Xiaojie Guo Amir Alipour-Fanid Lingfei Wu Hemant Purohit Xiang Chen K. Zeng Liang Zhao ObjD 22 12 0 26 Aug 2019