OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

20 March 2019

Papers citing "OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations"

31 / 81 papers shown

Title
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
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks Fengbin Zhang Haoyi Fan Ruidong Wang Zuoyong Li Tiancai Liang 24 31 0 01 Sep 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection Iftitahu Ni'mah Meng Fang Vlado Menkovski Mykola Pechenizkiy 35 5 0 27 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
Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol Damien Fourure Muhammad Usama Javaid N. Posocco Simon Tihon 28 37 0 30 Jun 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 20 18 0 19 May 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
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
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 35 12 0 29 Mar 2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection John Taylor Jewell Vahid Reza Khazaie Y. Mohsenzadeh 19 27 0 27 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 331 0 22 Mar 2021
Unsupervised Two-Stage Anomaly Detection Yunfei Liu Chaoqun Zhuang Feng Lu 39 29 0 22 Mar 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 54 112 0 08 Jan 2021
ESAD: End-to-end Deep Semi-supervised Anomaly Detection Chaoqin Huang Fei Ye Peisen Zhao Ya Zhang Yanfeng Wang Qi Tian 27 12 0 09 Dec 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 33 14 0 04 Nov 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 33 13 0 12 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 30 4 0 05 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 23 30 0 02 Sep 2020
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images Kang Zhou Yuting Xiao Jianlong Yang Jun Cheng Wen Liu Weixin Luo Zaiwang Gu Jiang-Dong Liu Shenghua Gao MedIm 44 115 0 09 Aug 2020
Backpropagated Gradient Representations for Anomaly Detection Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib 30 71 0 18 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 11 588 0 16 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 42 383 0 29 Jun 2020
G2D: Generate to Detect Anomaly M. PourReza Bahram Mohammadi Mostafa Khaki Samir Bouindour H. Snoussi Mohammad Sabokrou 13 60 0 20 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 40 88 0 30 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
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 28 184 0 27 Mar 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection Mohammadreza Salehi Atrin Arya Barbod Pajoum Mohammad Otoofi Amirreza Shaeiri M. Rohban Hamid R. Rabiee AAML 29 62 0 12 Mar 2020
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 25 14 0 11 May 2019
Learning Deep Features for One-Class Classification Pramuditha Perera Vishal M. Patel 25 368 0 16 Jan 2018