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A Cognitive Memory-Augmented Network for Visual Anomaly Detection

https://doi.org/10.1109/jas.2021.1004045

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

inferredcites →https://doi.org/10.1007/978-981-13-2414-7_11openalex-snapshot

Computer Vision-Based Fruit Disease Detection and Classification

inferredcites →https://doi.org/10.1016/j.cviu.2018.02.006openalex-snapshot

Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes

inferredcites →https://doi.org/10.1016/j.eswa.2009.01.034openalex-snapshot

A cognitive surveillance system for detecting incorrect traffic behaviors

inferredcites →https://doi.org/10.1098/rstb.2018.0025openalex-snapshot

Memory and mental time travel in humans and social robots

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Adaptive background mixture models for real-time tracking

inferredcites →https://doi.org/10.1109/cvpr.2006.100openalex-snapshot

Dimensionality Reduction by Learning an Invariant Mapping

inferredcites →https://doi.org/10.1109/cvpr.2009.5206569openalex-snapshot

Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates

inferredcites →https://doi.org/10.1109/cvpr.2010.5539872openalex-snapshot

Anomaly detection in crowded scenes

inferredcites →https://doi.org/10.1109/cvpr.2016.86openalex-snapshot

Learning Temporal Regularity in Video Sequences

inferredcites →https://doi.org/10.1109/cvpr.2018.00356openalex-snapshot

Adversarially Learned One-Class Classifier for Novelty Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00684openalex-snapshot

Future Frame Prediction for Anomaly Detection - A New Baseline

inferredcites →https://doi.org/10.1109/cvpr.2019.00057openalex-snapshot

Latent Space Autoregression for Novelty Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00301openalex-snapshot

OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations

inferredcites →https://doi.org/10.1109/cvpr.2019.00803openalex-snapshot

Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video

inferredcites →https://doi.org/10.1109/cvpr.2019.00982openalex-snapshot

MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01438openalex-snapshot

Learning Memory-Guided Normality for Anomaly Detection

inferredcites →https://doi.org/10.1109/iccv.2017.315openalex-snapshot

Unmasking the Abnormal Events in Video

inferredcites →https://doi.org/10.1109/iccv.2017.45openalex-snapshot

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

inferredcites →https://doi.org/10.1109/iccv.2017.77openalex-snapshot

Predicting Deeper into the Future of Semantic Segmentation

inferredcites →https://doi.org/10.1109/iccv.2019.00179openalex-snapshot

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

inferredcites →https://doi.org/10.1109/icme.2017.8019325openalex-snapshot

Remembering history with convolutional LSTM for anomaly detection

inferredcites →https://doi.org/10.1109/icpr.2010.493openalex-snapshot

CUDA Implementation of Deformable Pattern Recognition and its Application to MNIST Handwritten Digit Database

inferredcites →https://doi.org/10.1109/roman.2005.1513860openalex-snapshot

The role of episodic memory and emotion in a cognitive robot

inferredcites →https://doi.org/10.1109/tpami.2013.111openalex-snapshot

Anomaly Detection and Localization in Crowded Scenes

inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot

Book Review: Pattern Recognition and Machine Learning

inferredcites →https://doi.org/10.1145/2689746.2689747openalex-snapshot

Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction

inferredcites →https://doi.org/10.1145/3123266.3123451openalex-snapshot

Spatio-Temporal AutoEncoder for Video Anomaly Detection

inferredcites →https://doi.org/10.1162/089976601750264965openalex-snapshot

Estimating the Support of a High-Dimensional Distribution

inferredcites →https://doi.org/10.18637/jss.v017.b05openalex-snapshot

Pattern Recognition and Machine Learning

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1306.0186openalex-snapshot

RNADE: The real-valued neural autoregressive density-estimator

inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot

Auto-Encoding Variational Bayes

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1606.05328openalex-snapshot

Conditional Image Generation with PixelCNN Decoders

inferredcites →https://doi.org/10.48550/arxiv.1609.03499openalex-snapshot

WaveNet: A Generative Model for Raw Audio

inferredcites →https://doi.org/10.48550/arxiv.1708.07747openalex-snapshot

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

inferredcites →https://doi.org/10.48550/arxiv.1807.02588openalex-snapshot

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

inferredcites →https://doi.org/10.5220/0007364503720380openalex-snapshot

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

inferredcites →https://doi.org/10.7551/mitpress/7503.003.0024openalex-snapshot

Greedy Layer-Wise Training of Deep Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Acknowledgment of patient in sense behaviors using bidirectional ConvLSTM

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Decentralized Vision-Based Byzantine Agent Detection in Multi-robot Systems with IOTA Smart Contracts

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Enabling Memory-Augmented Neural Networks for Efficient Edge Applications

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Patch Memory Bank K-NN for Semi-supervised Visual Hazard Detection in Indoor Mobile Robots

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HSTforU: anomaly detection in aerial and ground-based videos with hierarchical spatio-temporal transformer for U-net

inferred← citeshttps://doi.org/10.1007/s11432-024-4291-4openalex-snapshot

A recover-then-discriminate framework for robust anomaly detection

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A defect recognition model for cross-section profile of hot-rolled strip based on deep learning

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A Fully Connected Network Based on Memory for Video Anomaly Detection

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Using Rough Sets to Improve the High-dimensional Data Anomaly Detection Method Based on Extended Isolation Forest

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Machine Learning Approaches for Abandoned Luggage Detection

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Deep Learning for Abnormal Human Activity Detection: A Comprehensive Review of Technology, Evaluation parameters and Recent trends in Intelligent Surveillance

inferred← citeshttps://doi.org/10.1109/jas.2022.105734openalex-snapshot

Visuals to Text: A Comprehensive Review on Automatic Image Captioning

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Complex-Valued Neural Networks: A Comprehensive Survey

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Multi-Axis Attention with Convolution Parallel Block for Organoid Segmentation

inferred← citeshttps://doi.org/10.1109/jas.2024.124332openalex-snapshot

Cognitive Navigation for Intelligent Mobile Robots: A Learning-Based Approach with Topological Memory Configuration

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3237562openalex-snapshot

Visual Anomaly Detection via Partition Memory Bank Module and Error Estimation

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3327448openalex-snapshot

Normal Image Guided Segmentation Framework for Unsupervised Anomaly Detection

inferred← citeshttps://doi.org/10.1109/tiv.2022.3204714openalex-snapshot

Curiosity-Driven Attention for Anomaly Road Obstacles Segmentation in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/tmc.2021.3135878openalex-snapshot

Locomotion Mode Recognition Using Sensory Data With Noisy Labels: A Deep Learning Approach

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3390806openalex-snapshot

ADPS: Asymmetric Distillation Postsegmentation for Image Anomaly Detection

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3479453openalex-snapshot

Asymmetrical Contrastive Learning Network via Knowledge Distillation for No-Service Rail Surface Defect Detection

inferred← citeshttps://doi.org/10.1109/tsmc.2022.3229096openalex-snapshot

Integrated Inspection on PCB Manufacturing in Cyber–Physical–Social Systems

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Research on traffic flow forecasting based on interactive dynamic meta-graph learning

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9502784/v1openalex-snapshot

Dual-Branch Collaborative Framework for Robust Visual Anomaly Detection in Mobile Robot Inspection

inferred← citeshttps://doi.org/10.21608/ijtar.2024.229847.1073openalex-snapshot

Survey: ANOMALY DETECTION IN SURVEILLANCE VIDEOS

inferred← citeshttps://doi.org/10.3390/electronics13132579openalex-snapshot

Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey

inferred← citeshttps://doi.org/10.3390/s23031612openalex-snapshot

A Feature-Trajectory-Smoothed High-Speed Model for Video Anomaly Detection

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Deep Learning-Based Anomaly Detection in Video Surveillance: A Survey

inferred← citeshttps://doi.org/10.3390/s24010058openalex-snapshot

Cognitive Refined Augmentation for Video Anomaly Detection in Weak Supervision

inferred← citeshttps://doi.org/10.36227/techrxiv.170473723.30823862/v1openalex-snapshot

Unsupervised Learning Methods for Human Abnormal Behavior Detection in Surveillance Systems; A Survey

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