Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks

24 November 2021

Papers citing "Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks"

7 / 7 papers shown

Title
Open-set Anomaly Segmentation in Complex Scenarios Song Xia Yi Yu Henghui Ding Wenhan Yang S. Liu Alex C. Kot Xudong Jiang DiffM 50 0 0 28 Apr 2025
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 20 9 0 29 Feb 2024
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection Jitao Ma Weiying Xie Yunsong Li Leyuan Fang DiffM 11 6 0 19 Jul 2023
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes Nicolas Larue Ngoc-Son Vu Vitomir Štruc Peter Peer V. Christophides AAML 22 27 0 21 Nov 2022
Fine-grained Anomaly Detection via Multi-task Self-Supervision Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 13 6 0 20 Apr 2021
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 149 670 0 10 Oct 2020
Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network Anjith George Z. Mostaani David Geissenbuhler Olegs Nikisins André Anjos S´ebastien Marcel CVBM AAML 50 212 0 19 Sep 2019