Hierarchical Semi-Supervised Contrastive Learning for
Contamination-Resistant Anomaly Detection

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

24 July 2022

Yibing Zhan

Papers citing "Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection"

8 / 8 papers shown

Title
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data Jiin Im Yongho Son Je Hyeong Hong AAML 73 1 0 25 Nov 2024
A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data Markus Ulmer Jannik Zgraggen L. G. Huber 31 1 0 25 Aug 2023
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection Guodong Wang Yun Wang Jie Qin Dongming Zhang Xiuguo Bao Di Huang 25 4 0 20 Aug 2023
No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection Tal Reiss Niv Cohen Yedid Hoshen UQCV 16 5 0 12 Jun 2023
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection Shengyang Sun Xiaojin Gong 34 46 0 23 Mar 2023
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey Gaoang Wang Mingli Song Jenq-Neng Hwang VOT 51 15 0 22 May 2022
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning Byoungjip Kim Jinho Choo Yeong-Dae Kwon Seongho Joe Seungjai Min Youngjune Gwon SSL 25 52 0 16 Jan 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 146 226 0 23 Mar 2020