CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

8 April 2021

Chun-Liang Li

Tomas Pfister

Papers citing "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization"

21 / 121 papers shown

Title
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 40 3 0 19 Mar 2022
Self-Supervised and Interpretable Anomaly Detection using Network Transformers Daniel L. Marino Chathurika S. Wickramasinghe C. Rieger Milos Manic 29 8 0 25 Feb 2022
Cut and Continuous Paste towards Real-time Deep Fall Detection Sunhee Hwang Minsong Ki Seung-Hyun Lee Sang-Hoon Park Byoung-Ki Jeon 3DH 17 4 0 22 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 117 448 0 26 Jan 2022
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn Jinsung Yoon Chun-Liang Li Chen-Yu Lee Tomas Pfister 22 18 0 21 Dec 2021
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 13 27 0 08 Dec 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 32 19 0 24 Nov 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 24 71 0 27 Oct 2021
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection Weiyao Wang Aniruddha Tamhane Christine Santos J. Rzasa James H Clark Therese L. Canares Mathias Unberath 32 4 0 25 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning J. Song Kyeongbo Kong Ye In Park Seonggyun Kim Suk-Ju Kang 23 46 0 07 Oct 2021
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection Matías Tailanián Pablo Musé Álvaro Pardo 37 8 0 05 Oct 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
Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms Taeyeong Choi B. Pyenson Juergen Liebig Theodore P. Pavlic 20 5 0 20 Aug 2021
Out-of-Distribution Detection Using Outlier Detection Methods Jan Diers Christian Pigorsch OODD 24 3 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
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 107 165 0 28 Apr 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 23 214 0 07 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