Improving Vision Anomaly Detection with the Guidance of Language Modality

4 October 2023

Papers citing "Improving Vision Anomaly Detection with the Guidance of Language Modality"

22 / 22 papers shown

Title
Fine-Grained Semantically Aligned Vision-Language Pre-Training Juncheng Li Xin He Longhui Wei Long Qian Linchao Zhu Lingxi Xie Yueting Zhuang Qi Tian Siliang Tang VLM 83 80 0 04 Aug 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 81 9 0 04 Jun 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft UQCV 119 45 0 23 May 2022
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning Juncheng Li Junlin Xie Long Qian Linchao Zhu Siliang Tang Leilei Gan Yi Yang Yueting Zhuang Xinze Wang 88 75 0 24 Mar 2022
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 114 346 0 22 Mar 2021
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
Debiased Contrastive Learning Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka SSL 90 566 0 01 Jul 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 390 18,897 0 13 Feb 2020
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath Basel Alomair OOD SSL 60 950 0 28 Jun 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 120 137 0 29 May 2019
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 87 759 0 22 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 305 3,144 0 09 Jul 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 99 607 0 28 May 2018
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection S. Latif Muhammad Usman R. Rana Junaid Qadir 69 145 0 25 Jan 2018
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks Marco Schreyer Timur Sattarov Damian Borth Andreas Dengel Bernd Reimer 61 106 0 15 Sep 2017
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application Yue-bo Wu Youzuo Lin Zheng Zhou D. C. Bolton Ji Liu Paul Johnson 49 109 0 12 Sep 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 99 530 0 23 May 2017
Multi-Label Learning with Global and Local Label Correlation Yue Zhu James T. Kwok Zhi Zhou 69 304 0 04 Apr 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 434 43,832 0 01 May 2014