Anomaly Detection Requires Better Representations

19 October 2022

Papers citing "Anomaly Detection Requires Better Representations"

7 / 7 papers shown

Title
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection Tingfeng Huang Yuxuan Cheng Jingbo Xia Rui Yu Yuxuan Cai Jinhai Xiang Xinwei He AAML 37 0 0 14 Aug 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 42 3 0 23 May 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 42 7 0 23 May 2024
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 19 0 0 24 Nov 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 154 676 0 22 Apr 2021