Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays 摘要 胸片等医学图像中的无监督异常检测正在成为人们关注的焦点,因为它缓解了异常数据的劳动密集型和昂贵的专家注释的稀缺性。然而,几乎所有现有方法都被公式化为一类分类,仅根据正常类的表示进行训练,并丢弃未标...
Context Autoencoder for Self-Supervised Representation Learning Contextual Representation Learning beyond Masked Language Modeling ContrastMask: Contrastive Learning to Segment Every Thing ConvMAE: Masked Convolution Meets Masked Autoencoders Exploring Plain Vision Transformer Backbones for Object Detection Global...
In the first stage, we introduce a novel approach that combines Contrastive learning and masked autoencoders to pre-train on the MIMII and ToyADMOS2 datasets. This combination allows our model to capture both global and local features, leading to a more comprehensive representation of the data....
3D Masked Autoencoders with Application to Anomaly Detection in Non-Contrast Enhanced Breast MRI This new model, coined masked autoencoder for medical imaging (MAEMI) is trained on two non-contrast enhanced MRI sequences, aiming at lesion detection ... D Lang,E Schwartz,CI Bercea,... 被引量...
In the context of anomaly detection, the Convolutional Autoencoder (CAE) is particularly intriguing as it captures the 2D structure within image sequences during the learning phase. A study employed a CAE for anomaly detection, utilizing the reconstruction error of each frame as an anomaly score....
MARLIN: Masked Autoencoder for facial video Representation LearnINg Zhixi Cai1, Shreya Ghosh1,2, Kalin Stefanov1, Abhinav Dhall1,3, Jianfei Cai1, Hamid Rezatofighi1, Reza Haffari1, Munawar Hayat1 1Monash University, 2 Curtin University, 3 Indian Institute of Tech...
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors We propose an efficient abnormal event detection model based on a lightweight masked auto-encoder (AE) applied at the video frame level. The novelty of the... NC Ristea,FA Croitoru,RT Ionescu,... - 《Arxiv》 被引量...
In the second stage, a two-layer ensemble method based on autoencoder and extreme learning machine is proposed to achieve nonlinear ensemble of good ... T Hu,X Wang,X Song - 《Journal of Sustainable Metallurgy》 被引量: 0发表: 2024年 Latent Out: an unsupervised deep anomaly detection appro...
Masked Image Modeling (MIM) methods, like Masked Autoencoders (MAE), efficiently learn a rich representation of the input. However, for adapting to downstream tasks, they require a sufficient amount of labeled data since their rich features code not only objects but also less relevant image back...
晚上介绍一篇做道路异常检测的文章,该文章于2022年发表在Information sciences上,虽然方法在如今看来显得单薄和简单,但解决问题的角度很清晰,值得学习。 大致思路是:寻找和临近边有明显差异的异常道路边,引…