Index for anoma

_	anomal	_
Online	anomal	movement detection based on unsupervised incremental learning

_	anomalib	_
	anomalib	: A Deep Learning Library for Anomaly Detection

_	anomalies	_
3d Mapping of Serial Histology Sections with	anomalies	Using a Novel Robust Deformable Registration Algorithm
A3N: Attention-based adversarial autoencoder network for detecting	anomalies	in video sequence
Algorithm for an Accurate Detection of	anomalies	in Hyperspectral Images With a Low Computational Complexity, An
Analysis of Four Years of Global XCO2	anomalies	as Seen by Orbiting Carbon Observatory-2
Analysis of Ionospheric	anomalies	before the Tonga Volcanic Eruption on 15 January 2022
Analysis of Ionospheric TEC	anomalies	Prior to the Jiuzhaigou Ms7.0 Earthquake Based on BeiDou GEO Satellite Data, The
Analysis of Ocean Bottom Pressure	anomalies	and Seismic Activities in the MedRidge Zone
Analysis of Thermal	anomalies	in Volcanic Areas Using Multiscale and Multitemporal Monitoring: Vulcano Island Test Case
Application of the Fourier Series Expansion Method for the Inversion of Gravity Gradients using Gravity	anomalies
Are the Significant Ionospheric	anomalies	Associated with the 2007 Great Deep-Focus Undersea Jakarta-Java Earthquake?
Assessment of Regional Vegetation Response to Climate	anomalies	: A Case Study for Australia Using GIMMS NDVI Time Series between 1982 and 2006
Automatic Algorithm For Minimizing	anomalies	And Discrepancies In Point Clouds Acquired By Laser Scanning Technique, An
Automatic detection of colonoscopic	anomalies	using capsule endoscopy
CACAO Method for Smoothing, Gap Filling, and Characterizing Seasonal	anomalies	in Satellite Time Series, The
Can Satellite-Based Thermal	anomalies	Be Indicative of Heatwaves? An Investigation for MODIS Land Surface Temperatures in the Mediterranean Region
Cardiac	anomalies	detection by cepstral analysis of ICG signal
Changes in the Antarctic's Summer Surface Albedo, Observed by Satellite since 1982 and Associated with Sea Ice	anomalies
Characteristics and Cause Analysis of the 1954 Yangtze Precipitation	anomalies
Class of Detection Filters for Targets and	anomalies	in Multispectral/Hyperspectral Imagery, A
Classification of gait	anomalies	from kinect
Classification of polarimetric SAR imagery using unsupervised H/alpha and extended H/alpha schemes to detect	anomalies	on earthen levees
Complexity-aware algorithm architecture for real-time enhancement of local	anomalies	in hyperspectral images
Computer-aided classification of	anomalies	in anatomical structures
Constrained Linear Deconvolution of GRACE	anomalies	to Correct Spatial Leakage
Constructing GRACE-Based 1 km Resolution Groundwater Storage	anomalies	in Arid Regions Using an Improved Machine Learning Downscaling Method: A Case Study in Alxa League, China
Crustal and Upper Mantle Density Structure Beneath the Qinghai-Tibet Plateau and Surrounding Areas Derived from EGM2008 Geoid	anomalies
Data-Driven Interpolation of Sea Level	anomalies	Using Analog Data Assimilation
Deciphering Circular Anthropogenic	anomalies	in PALSAR Data: Using L-Band SAR for Analyzing Archaeological Features on the Steppe
Deep Convolutional Neural Network for Detecting Volcanic Thermal	anomalies	from Satellite Images, A
Deep Learning for Detecting	anomalies
Deep learning model based on cascaded autoencoders and one-class learning for detection and localization of	anomalies	from surveillance videos
DeepSegmenter: Temporal Action Localization for Detecting	anomalies	in Untrimmed Naturalistic Driving Videos
Design of Observer for Cardiovascular	anomalies	Detection: an LMI approach
Detecting and discriminating behavioural	anomalies
Detecting and Locating Gastrointestinal	anomalies	Using Deep Learning and Iterative Cluster Unification
Detecting	anomalies	from Video-Sequences: a Novel Descriptor
Detecting	anomalies	in Intelligent Vehicle Charging and Station Power Supply Systems With Multi-Head Attention Models
Detecting	anomalies	in people's trajectories using spectral graph analysis
Detecting	anomalies	in Semantic Segmentation with Prototypes
Detecting	anomalies	in Small Unmanned Aerial Systems via Graphical Normalizing Flows
Detecting	anomalies	, Abnormal Behavior In Crowds
Detecting	anomalies	, Abnormal Event, Abnormal Behavior, or Rare Events, Rare Behaviors
Detecting	anomalies	, Trajectory Analysis for Anomalies
Detecting	anomalies	, Trajectory Analysis for Anomalies
Detecting contextual	anomalies	of crowd motion in surveillance video
Detecting contextual collective	anomalies	at a Glance
Detecting Floor	anomalies
Detecting high-temperature	anomalies	from Sentinel-2 MSI images
Detection and Classification of Traffic	anomalies	Using Microscopic Traffic Variables
Detection and Removal of	anomalies	in Digitized Animation Film
Detection of Small	anomalies	on Moving Background
Detection of spectrally sparse	anomalies	in hyperspectral imagery
Detection of Subpixel	anomalies	in Multispectral Infrared Imagery Using an Adaptive Bayesian Classifier
Determination of the Stability of a High and Steep Highway Slope in a Basalt Area Based on Iron Staining	anomalies
Developing a Deep Learning-Based Detector of Magnetic, Ne, Te and TEC	anomalies	from Swarm Satellites: The Case of Mw 7.1 2021 Japan Earthquake
Diagnosing Spatiotemporal Traffic	anomalies	With Low-Rank Tensor Autoregression
Direct and Legacy Effects of Spring Temperature	anomalies	on Seasonal Productivity in Northern Ecosystems
Direct Imaging of Stabilized Optical Flow and Possible	anomalies	From Moving Vehicle
Discriminating Possible Causes of Microwave Brightness Temperature Positive	anomalies	Related With May 2008 Wenchuan Earthquake Sequence
Disparity Image Analysis for 3D Characterization of Surface	anomalies
Distributed Classification of Traffic	anomalies	Using Microscopic Traffic Variables
DITAN: A deep-learning domain agnostic framework for detection and interpretation of temporally-based multivariate	anomalies
Dominant Modes of Tibetan Plateau Summer Surface Sensible Heating and Associated Atmospheric Circulation	anomalies
Enhancing the surgeons reality: Smart visualization of bolus time of arrival and blood flow	anomalies	from time lapse series for safety and speed of cerebrovascular surgery
ENSO and Teleconnections Observed Using MISR Cloud Height	anomalies
Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage	anomalies
Evaluation of Detection Approaches for Road	anomalies	Based on Accelerometer Readings: Addressing Who's Who
Evaluation of Pre-Earthquake	anomalies	of Borehole Strain Network by Using Receiver Operating Characteristic Curve
Evaluation of Single-Sensor Surface Soil Moisture	anomalies	over the Mainland of the People's Republic of China, The
Explaining	anomalies	in SAR and Scatterometer Soil Moisture Retrievals From Dry Soils With Subsurface Scattering
Exploring Patterns and Effects of Aerosol Quantity Flag	anomalies	in MODIS Surface Reflectance Products in the Tropics
Extraction and Discrimination of MBT	anomalies	Possibly Associated with the Mw 7.3 Maduo (Qinghai, China) Earthquake on 21 May 2021
Finding	anomalies	in an Arbitrary Image
Finding	anomalies	with Generative Adversarial Networks for a Patrolbot
First Results on the Systematic Search of Land Surface Temperature	anomalies	as Earthquakes Precursors
Fused Method of Machine Learning and Dynamic Time Warping for Road	anomalies	Detection, A
Generating	anomalies	for Video Anomaly Detection with Prompt-based Feature Mapping
Geospatial Approach for Landslide Activity Assessment and Mapping Based on Vegetation	anomalies
GNSS-Based Statistical Analysis of Ionospheric	anomalies	During Typhoon Landings in Taiwan/Japan
Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal	anomalies	at Global Scale by Means of Mid-High Spatial Resolution Satellite Data, A
Hierarchical Detection of Network	anomalies	: A Self-Supervised Learning Approach
High-Resolution Interannual Mass	anomalies	of the Antarctic Ice Sheet by Combining GRACE Gravimetry and ENVISAT Altimetry
Identifying Droughts Affecting Agriculture in Africa Based on Remote Sensing Time Series between 2000-2016: Rainfall	anomalies	and Vegetation Condition in the Context of ENSO
Identifying Seismic	anomalies	via Wavelet Maxima Analysis of Satellite Microwave Brightness Temperature Observations
Image	anomalies	: A Review and Synthesis of Detection Methods
Image-Consistent Detection of Road	anomalies	as Unpredictable Patches
Impact of Signal Contamination on the Adaptive Detection Performance of Local Hyperspectral	anomalies
Interpolation of the Mean	anomalies	for Cloud Filling in Land Surface Temperature and Normalized Difference Vegetation Index
Inverted Algorithm of Groundwater Storage	anomalies	by Combining the GNSS, GRACE/GRACE-FO, and GLDAS: A Case Study in the North China Plain
Inverted Algorithm of Terrestrial Water-Storage	anomalies	Based on Machine Learning Combined with Load Model and Its Application in Southwest China
IR Thermography from UAVs to Monitor Thermal	anomalies	in the Envelopes of Traditional Wine Cellars: Field Test
Iterative Algorithm for Predicting Seafloor Topography from Gravity	anomalies	, An
Large	anomalies	in the Tropical Upper Troposphere Lower Stratosphere (UTLS) Trace Gases Observed during the Extreme 2015-16 El Nino Event by Using Satellite Measurements
Learning a distance function with a Siamese network to localize	anomalies	in videos
Learning for Detecting	anomalies
Learning general optical flow subspaces for egomotion estimation and detection of motion	anomalies
Learning to Detect	anomalies	in Surveillance Video
Lightweight Deep Learning Pipeline for Detection, Segmentation and Classification of Breast Cancer	anomalies
Local Freeman Decomposition for Robust Imaging and Identification of Subsurface	anomalies	Using Misaligned Full-Polarimetric GPR Data
Localizing	anomalies	From Weakly-Labeled Videos
Look Around for	anomalies	: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
Machine Learning Strategy Based on Kittler's Taxonomy to Detect	anomalies	and Recognize Contexts Applied to Monitor Water Bodies in Environments, A
Mapping Arctic Lake Ice Backscatter	anomalies	Using Sentinel-1 Time Series on Google Earth Engine
Mapping of season length	anomalies	in Mexico
Meteorological Drivers of Permian Basin Methane	anomalies	Derived from TROPOMI
Method for Detecting Ionospheric TEC	anomalies	before Earthquake: The Case Study of Ms 7.8 Earthquake, February 06, 2023, Turkiye, A
Method for segmenting medical images and detecting surface	anomalies	in anatomical structures
Microwave Brightness Temperature (MBT) Background in Bayan Har Block, Qinghai-Tibet Plateau and Its Importance in Searching for Seismic MBT	anomalies
Microwave Brightness Temperature	anomalies	Associated With the 2015 Mw 7.8 Gorkha and Mw 7.3 Dolakha Earthquakes in Nepal
Mining Seismic Thermal	anomalies	From Massive Satellite Passive Microwave Images
MISR Radiance	anomalies	Induced by Stratospheric Volcanic Aerosols
Modeling and Prediction of Regular Ionospheric Variations and Deterministic	anomalies
Modular and Unified Framework for Detecting and Localizing Video	anomalies	, A
Monitoring African surface water dynamic using medium resolution daily data allows	anomalies	detection in nearly real time
Monitoring and Mitigation of Ionospheric	anomalies	for GNSS-Based Safety Critical Systems: A review of up-to-date signal processing techniques
Monitoring the Responses of Deciduous Forest Phenology to 2000-2018 Climatic	anomalies	in the Northern Hemisphere
Motion-based behaviour learning, profiling and classification in the presence of	anomalies
Multi-Channel Algorithm for Mapping Volcanic Thermal	anomalies	by Means of Sentinel-2 MSI and Landsat-8 OLI Data, A
Natural Synthetic	anomalies	for Self-supervised Anomaly Detection and Localization
New Algorithm for the Characterization of Thermal Infrared	anomalies	in Tectonic Activities, A
new tomography model for almost optimal detection of	anomalies	, A
nonlinear kernel-based joint fusion/detection of	anomalies	using Hyperspectral and SAR imagery, A
npphen: An R-Package for Detecting and Mapping Extreme Vegetation	anomalies	Based on Remotely Sensed Phenological Variability
Object-Centric Auto-Encoders and Dummy	anomalies	for Abnormal Event Detection in Video
Object-Oriented Clustering Approach to Detect Evolutions of ENSO-Related Precipitation	anomalies	over Tropical Pacific Using Remote Sensing Products
On the Response of European Vegetation Phenology to Hydroclimatic	anomalies
on-line, real-time learning method for detecting	anomalies	in videos using spatio-temporal compositions, An
One-class Classification Criterion Robust to	anomalies	in Training Dataset
Pre-Seismic Temporal Integrated	anomalies	from Multiparametric Remote Sensing Data
Predictive Multidimensional Model for Vegetation	anomalies	Derived From Remote-Sensing Observations, A
Preliminary Study on Ionospheric Scintillation	anomalies	Detected Using GNSS-R Data from NASA CYGNSS Mission as Possible Earthquake Precursors, A
Process-Oriented Approach to Identify Evolutions of Sea Surface Temperature	anomalies	with a Time-Series of a Raster Dataset, A
Quantification of LAI interannual	anomalies	by adjusting climatological patterns
RareAnom: A Benchmark Video Dataset for Rare Type	anomalies
Recovering Regional Groundwater Storage	anomalies	by Combining GNSS and Surface Mass Load Data: A Case Study in Western Yunnan
Relating Spatiotemporal Patterns of Forest Fires Burned Area and Duration to Diurnal Land Surface Temperature	anomalies
Removing	anomalies	as Noises for Industrial Defect Localization
Robust Endmember Extraction in the Presence of	anomalies
Satellite-Based Climatology of Wind-Induced Surface Temperature	anomalies	for the Antarctic, A
Satellite-Observed Thermal	anomalies	and Deformation Patterns Associated to the 2021, Central Crete Seismic Sequence
Searching for Unknown	anomalies	in Hierarchical Data Streams
Seasonality of Eddy-Induced Chlorophyll-a	anomalies	in the Kuroshio Extension System, The
Seismo-Deformation	anomalies	Associated with the M6.1 Ludian Earthquake on August 3, 2014
Seismo-magnetic Field	anomalies	Detection Using Swarm Satellites (Alpha, Bravo and Charlie)
semantically driven self-supervised algorithm for detecting	anomalies	in image sets, A
Sensor Data Modeling and Model Frequency Analysis for Detecting Cutting Tool	anomalies	in Machining
Sentinel-2 Based Temporal Detection of Agricultural Land Use	anomalies	in Support of Common Agricultural Policy Monitoring
Separating Sensor	anomalies	From Process Anomalies in Data-Driven Anomaly Detection
Separating Sensor	anomalies	From Process Anomalies in Data-Driven Anomaly Detection
Soil Drought	anomalies	in MODIS GPP of a Mediterranean Broadleaved Evergreen Forest
Spatial Different Order Derivative Method of Gravity and Magnetic	anomalies	for Source Distribution Inversion, The
Spatial Downscaling Methodology for GRACE Total Water Storage	anomalies	Using GPM IMERG Precipitation Estimates, A
Spatial Prediction Models for Landslide Activity Mapping Using Vegetation	anomalies
SST	anomalies	in the Mozambique Channel Using Remote Sensing and Numerical Modeling Data
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo	anomalies
Standoff video analysis for the detection of security	anomalies	in vehicles
Stigmergy-Based Analysis of City Hotspots to Discover Trends and	anomalies	in Urban Transportation Usage, A
Study of Possible Correlations between Seismo-Ionospheric	anomalies	of GNSS Total Electron Content and Earthquake Energy, A
Study of the OLR	anomalies	before the 2023 Turkey M7.8 Earthquake
Study on Electron Density	anomalies	Possibly Related to Earthquakes Based on CSES Observations
Summer Nighttime	anomalies	of Ionospheric Electron Content at Midlatitudes: Comparing Years of Low and High Solar Activities Using Observations and Tidal/Planetary Wave Features
Suspected Seismo-Ionospheric	anomalies	before Three Major Earthquakes Detected by GIMs and GPS TEC of Permanent Stations
Synchronized and Co-Located Ionospheric and Atmospheric	anomalies	Associated with the 2023 Mw 7.8 Turkey Earthquake
Synthesize Then Compare: Detecting Failures and	anomalies	for Semantic Segmentation
TEC	anomalies	Detection for Qinghai and Yunnan Earthquakes on 21 May 2021
Temporal	anomalies	in Burned Area Trends: Satellite Estimations of the Amazonian 2019 Fire Crisis
Thermal Infrared and Ionospheric	anomalies	of the 2017 Mw6.5 Jiuzhaigou Earthquake
Three-Dimensional Magnetic Field and NMR Sensitivity Computations Incorporating Conductivity	anomalies	and Variable-Surface Topography
Towards Detection of Thermal	anomalies	In Large Urban Areas Using Simulation
Towards explaining	anomalies	: A deep Taylor decomposition of one-class models
TPSAD: Learning to Detect and Localize	anomalies	With Thin Plate Spline Transformation
Treating Noise and	anomalies	in Vehicle Trajectories From an Experiment With a Swarm of Drones
Unmasking	anomalies	in Road-Scene Segmentation
Unsupervised Segmentation of	anomalies	in Sequential Data, Images and Volumetric Data Using Multiscale Fourier Phase-Only Analysis
Using GNSS Radio Occultation Data to Monitor Tropical Atmospheric	anomalies	during the January-February 2009 Sudden Stratospheric Warming Event
Vertical Structure	anomalies	of Oceanic Eddies and Eddy-Induced Transports in the South China Sea
Volcanic	anomalies	Monitoring System (VOLCANOMS), a Low-Cost Volcanic Monitoring System Based on Landsat Images
Water Quality	anomalies	following the 2017 Hurricanes in Southwestern Puerto Rico: Absorption of Colored Detrital and Dissolved Material
Why Do Inverse Eddy Surface Temperature	anomalies	Emerge? The Case of the Mediterranean Sea
Why is this an anomaly? Explaining	anomalies	using sequential explanations
X-MAN: Explaining multiple sources of	anomalies	in video

181 for anomalies

_	anomality	_
Estimating	anomality	of the Video Sequences for Surveillance Using 1-Class SVM
Hierarchical	anomality	Detection Based on Situation

_	anomalous	_
3-Dimensional Realization of	anomalous	Pictures: An Application of Picture Interpretation Theory to Toy Design
Analysis of the	anomalous	Environmental Response to the 2022 Tonga Volcanic Eruption Based on GNSS
	anomalous	18.61-Year Nodal Cycles in the Gulf of Tonkin Revealed by Tide Gauges and Satellite Altimeter Records
	anomalous	activity classification in the distributed camera network
	anomalous	Behaviour Detection Using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Processing
	anomalous	Diffusion in Cardiac Tissue as an Index of Myocardial Microstructure
	anomalous	Event Detection Using a Semi-Two Dimensional Hidden Markov Model
	anomalous	Human Behavior Detection Using a Network of RGB-D Sensors
	anomalous	Motion Detection On Highway Using Deep Learning
	anomalous	tie plate detection for railroad inspection
	anomalous	trajectory detection using support vector machines
	anomalous	trajectory patterns detection
	anomalous	Urban Mobility Pattern Detection Based on GPS Trajectories and POI Data
	anomalous	video event detection using spatiotemporal context
	anomalous	Zenith Total Delays for an Insular Tropical Location: The Tahiti Island Case
Are we certain it's	anomalous	?
Asymptotically CFAR-Unsupervised Target Detection and Discrimination in Hyperspectral Images With	anomalous	-Component Pursuit
Audio Surveillance of Roads: A System for Detecting	anomalous	Sounds
Automatic Identification for the Boundaries of InSAR	anomalous	Deformation Areas Based on Semantic Segmentation Model
BRIO-TA Dataset: Understanding	anomalous	Assembly Process in Manufacturing, The
Classification of	anomalous	Pixels in the Focal Plane Arrays of Orbiting Carbon Observatory-2 and -3 via Machine Learning
Classification of Ground Clutter and	anomalous	Propagation Using Dual-Polarization Weather Radar
Claws: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for	anomalous	Event Detection
Color adaptation for	anomalous	trichromats
Computerized simulation of color appearance for	anomalous	trichromats using the multispectral image
Context-Aware Distance for	anomalous	Human Trajectories Detection
Deep learning-based intelligent surveillance model for detection of	anomalous	activities from videos
Detecting	anomalous	crowd behavior using correlation analysis of optical flow
Detecting	anomalous	events in videos by learning deep representations of appearance and motion
Detecting	anomalous	Objects on Mobile Platforms
Detecting	anomalous	Trajectories and Behavior Patterns Using Hierarchical Clustering from Taxi GPS Data
Detecting	anomalous	Trajectories via Recurrent Neural Networks
Detection and Characterization of	anomalous	Entities in Social Communication Networks
Detection and Explanation of	anomalous	Activities: Representing Activities as Bags of Event n-Grams
Detection of	anomalous	Crowd Behaviour Using Hyperspherical Clustering
Detection of	anomalous	driving behaviors by unsupervised learning of graphs
Discrimination thresholds of normal and	anomalous	trichromats: Model of senescent changes in ocular media density on the Cambridge Colour Test
Display Gamut Available to Simulate Colors Perceived by	anomalous	Trichromats, The
Evaluation of a model to predict	anomalous	-observer performance with the 100-hue test
Evaluation of Different Features and Learning Models for	anomalous	Event Detection, An
Exploiting Typicality for Selecting Informative and	anomalous	Samples in Videos
extended fuzzy SOM for	anomalous	behaviour detection, An
Feature Augmentation Improves	anomalous	Change Detection for Human Activity Identification in Synthetic Aperture Radar Imagery
Histograms of Optical Flow Orientation and Magnitude and Entropy to Detect	anomalous	Events in Videos
Human-related	anomalous	event detection via memory-augmented Wasserstein generative adversarial network with gradient penalty
Hybrid model for predicting	anomalous	large passenger flow in urban metros
Hyperspectral	anomalous	change detection based on joint sparse representation
iBOAT: Isolation-Based Online	anomalous	Trajectory Detection
Identifying forest thinning using	anomalous	change detection on synthetic aperture radar data
Improved	anomalous	Amplitude Attenuation Method Based on Deep Neural Networks
Improved Spring Vegetation Phenology Calculation Method Using a Coupled Model and	anomalous	Point Detection
Improving Spatial-Spectral Endmember Extraction in the Presence of	anomalous	Ground Objects
Ionospheric Regions Producing	anomalous	GNSS Radio Occultation Results
Kalman Filter, ANN-MLP, LSTM and ACO Methods Showing	anomalous	GPS-TEC Variations Concerning Turkey's Powerful Earthquake (6 February 2023)
Kernel	anomalous	Change Detection for Remote Sensing Imagery
Learning Deep Representations of Appearance and Motion for	anomalous	Event Detection
Learning to Adapt to Domain Shifts with Few-shot Samples in	anomalous	Sound Detection
Leveraging Graph and Deep Learning Uncertainties to Detect	anomalous	Maritime Trajectories
Local Coregistration Adjustment for	anomalous	Change Detection
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With	anomalous	Features
Minkowski metric, feature weighting and	anomalous	cluster initializing in K-Means clustering
Naturalistic data sets for image and behavior analysis: normal versus	anomalous	events
New Deep Learning Neural Network Model for the Identification of InSAR	anomalous	Deformation Areas, A
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering	anomalous	Events From Intelligent Transportation Systems
On the Essence of Unsupervised Detection of	anomalous	Motion in Surveillance Videos
On-line trajectory clustering for	anomalous	events detection
Online Dominant and	anomalous	Behavior Detection in Videos
PoseCVAE:	anomalous	Human Activity Detection
Prediction of Target Detection Probability Based on Air-to-Air Long-Range Scenarios in	anomalous	Atmospheric Environments
Privacy-preserving detection of	anomalous	phenomena in crowdsourced environmental sensing using fine-grained weighted voting
Process-Oriented heterogeneous graph learning in GNN-Based ICS	anomalous	pattern recognition
Quantification and Standardized Description of Color Vision Deficiency Caused by	anomalous	Trichromats: Part I: Simulation and Measurement
Quantification and Standardized Description of Color Vision Deficiency Caused by	anomalous	Trichromats: Part II: Modeling and Color Compensation
Random-Field Model-Based Algorithm for	anomalous	Complex Image Pixel Detection, A
rapid	anomalous	region extraction method by iterative projection onto kernel eigenspace, A
Real-Time Detection of	anomalous	Objects in Dynamic Scene
RST Analysis of	anomalous	TIR Sequences in Relation with Earthquakes Occurred in Turkey in the Period 2004-2015
Self-Supervised Anomaly Detection from	anomalous	Training Data via Iterative Latent Token Masking
Semi-supervised Learning for	anomalous	Trajectory Detection
Semiautomatic	anomalous	Change Detection Method For Monitoring Aims, A
Sequential Nonparametric Detection of	anomalous	Data Streams
Sequential Pattern Mining Based Approach to Adaptively Detect	anomalous	Paths in Floating Vehicle Trajectories, A
Simulation of Neural Contour Mechanisms: Representing	anomalous	Contours
Subpixel	anomalous	Change Detection in Remote Sensing Imagery
Supervised Contrastive Learning for Detecting	anomalous	Driving Behaviours from Multimodal Videos
Time-Frequency Causal Inference Uncovers	anomalous	Events in Environmental Systems
Trajectory-based	anomalous	behaviour detection for intelligent traffic surveillance
Trajectory-Based	anomalous	Event Detection
vector field approach for identifying	anomalous	human mobility, A
Weakly-Supervised Action Segmentation and Unseen Error Detection in	anomalous	Instructional Videos

90 for anomalous

_	anomalously	_
Recognition of	anomalously	Deformed Kana Sequences in Japanese Historical Documents
Synergistic Use of Remote Sensing and Modeling to Assess an	anomalously	High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea

_	anomaly	_
Abnormal Ratios Guided Multi-Phase Self-Training for Weakly-Supervised Video	anomaly	Detection
Abnormal-Aware Loss and Full Distillation for Unsupervised	anomaly	Detection Based on Knowledge Distillation
AC-LSTM:	anomaly	State Perception of Infrared Point Targets Based on CNN+LSTM
Active	anomaly	detection based on deep one-class classification
Active Online	anomaly	Detection Using Dirichlet Process Mixture Model and Gaussian Process Classification
Activity classification and	anomaly	detection using m-mediods based modelling of motion patterns
Activity Recognition for Ambient Sensing Data and Rule Based	anomaly	Detection
AD-CGAN: Contrastive Generative Adversarial Network for	anomaly	Detection
Adaptive aggregation-distillation autoencoder for unsupervised	anomaly	detection
Adaptive Basis Function Method for the Detection of an Undersurface Magnetic	anomaly	Target
Adaptive Graph Convolutional Networks for Weakly Supervised	anomaly	Detection in Videos
Adaptive ROC-based ensembles of HMMs applied to	anomaly	detection
Adaptive Sparse Representations for Video	anomaly	Detection
ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical	anomaly	Detection
Adnet: Temporal	anomaly	Detection in Surveillance Videos
Adopting Hyperspectral	anomaly	Detection for Near Real-Time Camouflage Detection in Multispectral Imagery
ADS-Lead: Lifelong	anomaly	Detection in Autonomous Driving Systems
Advantages of Geostationary Satellites for Ionospheric	anomaly	Studies: Ionospheric Plasma Depletion Following a Rocket Launch
Adversarial and focused training of abnormal videos for weakly-supervised	anomaly	detection
Adversarial composite prediction of normal video dynamics for	anomaly	detection
Adversarial Data Augmentation for HMM-Based	anomaly	Detection
Adversarial Discriminative Attention for Robust	anomaly	Detection
Adversarial Machine Learning Attacks Against Video	anomaly	Detection Systems
Adversarial training of LSTM-ED based	anomaly	detection for complex time-series in cyber-physical-social systems
AI-Empowered Trajectory	anomaly	Detection and Classification in 6G-V2X
AI-Empowered Trajectory	anomaly	Detection for Intelligent Transportation Systems: A Hierarchical Federated Learning Approach
AIDA: Analytic isolation and distance-based	anomaly	detection algorithm
Analysis of GNSS-Derived Tropospheric Zenith Non-Hydrostatic Delay	anomaly	during Sandstorms in Northern China on 15th March 2021
Analysis of Winter	anomaly	and Annual Anomaly Based on Regression Approach
Analysis of Winter	anomaly	and Annual Anomaly Based on Regression Approach
Analyzing the Ionospheric Irregularities Caused by the September 2017 Geomagnetic Storm Using Ground-Based GNSS, Swarm, and FORMOSAT-3/COSMIC Data near the Equatorial Ionization	anomaly	in East Africa
AnoDDPM:	anomaly	Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
Anomalib: A Deep Learning Library for	anomaly	Detection
	anomaly	Analysis in Images and Videos: A Comprehensive Review
	anomaly	classification in digital mammography based on multiple-instance learning
	anomaly	Clustering: Grouping Images into Coherent Clusters of Anomaly Types
	anomaly	Clustering: Grouping Images into Coherent Clusters of Anomaly Types
	anomaly	Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration
	anomaly	Detection and Activity Perception Using Covariance Descriptor for Trajectories
	anomaly	detection and classification for hyperspectral imagery
	anomaly	Detection And Comparative Analysis Of Hydrothermal Alteration Materials Trough Hyperspectral Multisensor Data In The Turrialba Volcano
	anomaly	Detection and Correction of Optimizing Autonomous Systems With Inverse Reinforcement Learning
	anomaly	detection and localisation in the crowd scenes using a block-based social force model
	anomaly	Detection and Localization in Crowded Scenes
	anomaly	Detection and Reconstruction From Random Projections
	anomaly	Detection Approach for Plankton Species Discovery, An
	anomaly	Detection Based on Convolutional Recurrent Autoencoder for IoT Time Series
	anomaly	detection based on maximum a posteriori
	anomaly	detection based on sparse coding with two kinds of dictionaries
	anomaly	Detection Based on Stacked Sparse Coding With Intraframe Classification Strategy
	anomaly	detection based on two global grid motion templates
	anomaly	detection by combining decision trees and parametric densities
	anomaly	detection by using random projection forest
	anomaly	Detection for Cooperative Adaptive Cruise Control in Autonomous Vehicles Using Statistical Learning and Kinematic Model
	anomaly	Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation
	anomaly	Detection for Images Using Auto-encoder Based Sparse Representation
	anomaly	Detection for In situ Marine Plankton Images
	anomaly	Detection for Longwave FLIR Imagery Using Kernel Wavelet-RX
	anomaly	Detection for Medical Images Using Heterogeneous Auto-Encoder
	anomaly	Detection for Medical Images Using Self-Supervised and Translation-Consistent Features
	anomaly	Detection for Quaternion-Valued Traffic Signals
	anomaly	Detection for Road Traffic: A Visual Analytics Framework
	anomaly	Detection for Urban Vehicle GNSS Observation with a Hybrid Machine Learning System
	anomaly	Detection for Video Surveillance Applications
	anomaly	Detection from Call Data Records
	anomaly	Detection in 3D Point Clouds using Deep Geometric Descriptors
	anomaly	Detection in Airborne Fourier Transform Thermal Infrared Spectrometer Images Based on Emissivity and a Segmented Low-Rank Prior
	anomaly	Detection in Automated Vehicles Using Multistage Attention-Based Convolutional Neural Network
	anomaly	Detection in Autonomous Driving: A Survey
	anomaly	detection in crowd scenes via online adaptive one-class support vector machines
	anomaly	Detection in Crowded Scenarios Using Local and Global Gaussian Mixture Models
	anomaly	detection in crowded scene via appearance and dynamics joint modeling
	anomaly	detection in crowded scenes
	anomaly	detection in crowded scenes by SL-HOF descriptor and foreground classification
	anomaly	Detection in Elderly Daily Behavior in Ambient Sensing Environments
	anomaly	detection in extremely crowded scenes using spatio-temporal motion pattern models
	anomaly	Detection in Hyperspectral Imagery Based on Gaussian Mixture Model
	anomaly	Detection in Hyperspectral Imagery Based on Low-Rank Representation Incorporating a Spatial Constraint
	anomaly	detection in hyperspectral imagery based on maximum entropy and nonparametric estimation
	anomaly	Detection in Hyperspectral Imagery by Fuzzy Integral Fusion of Band-subsets
	anomaly	Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation
	anomaly	Detection in Pedestrian Walkways for Intelligent Transportation System Using Federated Learning and Harris Hawks Optimizer on Remote Sensing Images
	anomaly	Detection in Radiation Sensor Data With Application to Transportation Security
	anomaly	Detection in Road Networks Using Sliding-Window Tensor Factorization
	anomaly	Detection in Road Traffic Using Visual Surveillance: A Survey
	anomaly	detection in streaming data with gaussian process based stochastic differential equations
	anomaly	detection in surveillance video based on bidirectional prediction
	anomaly	detection in surveillance video using motion direction statistics
	anomaly	detection in thermal images using deep neural networks
	anomaly	Detection in Traffic Scenes via Spatial-Aware Motion Reconstruction
	anomaly	Detection in Video Sequence With Appearance-Motion Correspondence
	anomaly	detection in video sequences: A benchmark and computational model
	anomaly	detection in video using two-part sparse dictionary in 170 FPS
	anomaly	Detection in Video via Self-Supervised and Multi-Task Learning
	anomaly	Detection of Folding Operations for Origami Instruction with Single Camera
	anomaly	Detection of Man-Made Objects in Large Aerial Images
	anomaly	Detection of Metro Station Tracks Based on Sequential Updatable Anomaly Detection Framework
	anomaly	Detection of Metro Station Tracks Based on Sequential Updatable Anomaly Detection Framework
	anomaly	Detection Performance Comparison On Anomaly-detection Based Change Detection On Martian Image Pairs
	anomaly	Detection Performance Comparison On Anomaly-detection Based Change Detection On Martian Image Pairs
	anomaly	Detection Requires Better Representations
	anomaly	Detection System via Moving Surveillance Robots with Human Collaboration, An
	anomaly	Detection through Registration
	anomaly	Detection through Spatio-temporal Context Modeling in Crowded Scenes
	anomaly	Detection under Distribution Shift
	anomaly	detection using improved deep SVDD model with data structure preservation
	anomaly	Detection using Score-based Perturbation Resilience
	anomaly	Detection Using Spatio-Temporal Context Learned by Video Clip Sorting
	anomaly	detection via 3D-HOF and fast double sparse representation
	anomaly	Detection via Estimated Mutual Information and Its Relationship to the GLRT
	anomaly	Detection via Feature-Aided Tracking and Hidden Markov Models
	anomaly	detection via gating highway connection for retinal fundus images
	anomaly	Detection via Learnable Pretext Task
	anomaly	Detection via Local Coordinate Factorization and Spatio-Temporal Pyramid
	anomaly	Detection via Minimum Likelihood Generative Adversarial Networks
	anomaly	Detection via Reverse Distillation from One-Class Embedding
	anomaly	Detection Via Self-Organizing Map
	anomaly	Detection with Adversarially Learned Perturbations of Latent Space
	anomaly	Detection with Domain Adaptation
	anomaly	detection with dual-stream memory network
	anomaly	detection with spatio-temporal context using depth images
	anomaly	Detection, Localization and Classification for Railway Inspection
	anomaly	Explanation Using Metadata
	anomaly	Identification From Super-low Frequency Electromagnetic Data For The Coalbed Methane Detection
	anomaly	Intrusion Detection in Online Learning Space Based on XGBoost
	anomaly	Localization
	anomaly	Localization in Topic-Based Analysis of Surveillance Videos
	anomaly	Matters: An Anomaly-Oriented Model for Medical Visual Question Answering
	anomaly	Matters: An Anomaly-Oriented Model for Medical Visual Question Answering
	anomaly	Monitoring Framework in Lane Detection With a Generative Adversarial Network
	anomaly	prediction in seismic signals using neural networks
	anomaly	region detection and localization in metal surface inspection
	anomaly	surveillance device
	anomaly	-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
	anomaly	-Based Detection of IRC Botnets by Means of One-Class Support Vector Classifiers
	anomaly	-Based Ship Detection Using SP Feature-Space Learning with False-Alarm Control in Sea-Surface SAR Images
	anomaly	3D: Video anomaly detection based on 3D-normality clusters
Any-Shot Sequential	anomaly	Detection in Surveillance Videos
Application of optimal clustering and metric learning to patch-based	anomaly	detection
Approximate computing for onboard	anomaly	detection from hyperspectral images
ARCADe: A Rapid Continual	anomaly	Detector
Archetypal Analysis and Structured Sparse Representation for Hyperspectral	anomaly	Detection
ASAP -	anomaly	hot Spots of Agricultural Production, a new early warning decision support system developed by the Joint Research Centre
Associating	anomaly	Detection Strategy Based on Kittler's Taxonomy with Image Editing to Extend the Mapping of Polluted Water Bodies
Associative Memory with Spatio-Temporal Enhancement for Video	anomaly	Detection
Asymmetric Student-Teacher Networks for Industrial	anomaly	Detection
Atmospheric	anomaly	Analysis Related to Ms > 6.0 Earthquakes in China during 2020-2021
Attention Guided	anomaly	Localization in Images
Attention-Aware Spectral Difference Representation for Hyperspectral	anomaly	Detection
Attention-Driven Loss for	anomaly	Detection in Video Surveillance
Attribute Grammar-Based Event Recognition and	anomaly	Detection
Attribute Restoration Framework for	anomaly	Detection
Auto-AD: Autonomous Hyperspectral	anomaly	Detection Network Based on Fully Convolutional Autoencoder
Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral	anomaly	Detection
Autoencoders with exponential deviation loss for weakly supervised	anomaly	detection
Autoencoders: A Comparative Analysis in the Realm of	anomaly	Detection
AutoGAD: An Improved ICA-Based Hyperspectral	anomaly	Detection Algorithm
Automated unsupervised learning-based clustering approach for effective	anomaly	detection in brain magnetic resonance imaging (MRI)
Automatic Clearance	anomaly	Detection for Transmission Line Corridors Utilizing UAV-Borne LIDAR Data
Automatic Defect Segmentation by Unsupervised	anomaly	Learning
Automatic Detection and Classification of Pole-Like Objects in Urban Point Cloud Data Using an	anomaly	Detection Algorithm
Automatic Ship Detection in Optical Remote Sensing Images Based on	anomaly	Detection and SPP-PCANet
Autonomous Endmember Detection via an Abundance	anomaly	Guided Saliency Prior for Hyperspectral Imagery
Autonomous plant inspection and	anomaly	detection
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D	anomaly	Detection
Background Reconstruction via 3D-Transformer Network for Hyperspectral	anomaly	Detection
Backpropagated Gradient Representations for	anomaly	Detection
Band Subset Selection for	anomaly	Detection in Hyperspectral Imagery
BASO: A Background-	anomaly	Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images
BASO: A Background-	anomaly	Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images
Batch feature standardization network with triplet loss for weakly-supervised video	anomaly	detection
Batch quadratic programming network with maximum entropy constraint for	anomaly	detection
Bayesian Context-Dependent Learning for	anomaly	Classification in Hyperspectral Imagery
Bayesian Nonparametric Submodular Video Partition for Robust	anomaly	Detection
Beyond Background Feature Extraction: An	anomaly	Detection Algorithm Inspired by Slowly Varying Signal Analysis
Beyond Dents and Scratches: Logical Constraints in Unsupervised	anomaly	Detection and Localization
Bi-directional Frame Interpolation for Unsupervised Video	anomaly	Detection
Bi-READ: Bi-Residual AutoEncoder based feature enhancement for video	anomaly	detection
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image	anomaly	Localization
Bidirectional Spatio-Temporal Feature Learning With Multiscale Evaluation for Video	anomaly	Detection
Binary Partition Trees-Based Robust Adaptive Hyperspectral RX	anomaly	Detection
Biologically Inspired	anomaly	Detection in Pap-Smear Images
Blind source separation based	anomaly	detection in multi-spectral images
Blockchain-based	anomaly	detection of electricity consumption in smart grids
Boosting Positive and Unlabeled Learning for	anomaly	Detection With Multi-Features
Boosting Semi-Supervised	anomaly	Detection via Contrasting Synthetic Images
Boosting Variational Inference With Margin Learning for Few-Shot Scene-Adaptive	anomaly	Detection
bottom-up and top-down human visual attention approach for hyperspectral	anomaly	detection, A
Bouguer	anomaly	Re-Reduction and Interpretative Remarks of the Phlegraean Fields Caldera Structures (Southern Italy)
Box-Level Tube Tracking and Refinement for Vehicles	anomaly	Detection
Bringing Attention to Image	anomaly	Detection
Bus Headways Analysis for	anomaly	Detection
C-FAR: A Compositional Framework for	anomaly	Resolution in Intelligent Transportation Systems
cascade reconstruction model with generalization ability evaluation for	anomaly	detection in videos, A
Catching Both Gray and Black Swans: Open-set Supervised	anomaly	Detection*
CFAR algorithm for	anomaly	detection and discrimination in hyperspectral images, A
CFLOW-AD: Real-Time Unsupervised	anomaly	Detection with Localization via Conditional Normalizing Flows
Chaotic invariants of Lagrangian particle trajectories for	anomaly	detection in crowded scenes
Characterization of Background-	anomaly	Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection
Characterization of Background-	anomaly	Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection
Citizens' Spatial Footprint on Twitter:	anomaly	, Trend and Bias Investigation in Istanbul
CKT: Cross-Image Knowledge Transfer for Texture	anomaly	Detection
Classification of Gait	anomaly	due to Lesion Using Full-Body Gait Motions
Clear-Air	anomaly	Masking Using Kalman Temporal Filter From Geostationary Multispectral Imagery
Client-specific	anomaly	detection for face presentation attack detection
CLIP-TSA: Clip-Assisted Temporal Self-Attention for Weakly-Supervised Video	anomaly	Detection
Clustering Driven Deep Autoencoder for Video	anomaly	Detection
Clustering ellipses for	anomaly	detection
CNN-Based	anomaly	Detection for Face Presentation Attack Detection with Multi-Channel Images
COFT-AD: COntrastive Fine-Tuning for Few-Shot	anomaly	Detection
Collaborative Representation for Hyperspectral	anomaly	Detection
Combination of R1-PCA and median LDA for	anomaly	network detection
Combining GANs and AutoEncoders for efficient	anomaly	detection
Combining Genetic-Based Misuse and	anomaly	Detection for Reliably Detecting Intrusions in Computer Networks
Combining motion and appearance cues for	anomaly	detection
Combining Structure and Appearance for	anomaly	Detection in Wire Ropes
Community Feature Selection for	anomaly	Detection in Attributed Graphs
Compact Convolutional Neural Network for Textured Surface	anomaly	Detection, A
comparative study between single and multi-frame	anomaly	detection and localization in recorded video streams, A
Comparative Study on Predicting Topography from Gravity	anomaly	and Gravity Gradient Anomaly
Comparative Study on Predicting Topography from Gravity	anomaly	and Gravity Gradient Anomaly
comprehensive review on deep learning-based methods for video	anomaly	detection, A
Concept drift challenge in multimedia	anomaly	detection: A case study with facial datasets
Consensus Synergizes With Memory: A Simple Approach for	anomaly	Segmentation in Urban Scenes
Consistency-based Self-supervised Learning for Temporal	anomaly	Localization
Constrained Sparse Representation Model for Hyperspectral	anomaly	Detection, A
Constrained Sparse-Representation-Based Spatio-Temporal	anomaly	Detector for Moving Targets in Hyperspectral Imagery Sequences, A
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video	anomaly	Detection
Context-related video	anomaly	detection via generative adversarial network
Contextual	anomaly	detection in crowded surveillance scenes
Continual Learning for	anomaly	Detection in Surveillance Videos
Continuous Karakoram Glacier	anomaly	and Its Response to Climate Change during 2000-2021
Contrastive Attention for Video	anomaly	Detection
Contrastive Knowledge Distillation for	anomaly	Detection in Multi-Illumination/Focus Display Images
Convex Polytope Ensembles for Spatio-Temporal	anomaly	Detection
Convolutional Recurrent Reconstructive Network for Spatiotemporal	anomaly	Detection in Solder Paste Inspection
CRNN: Collaborative Representation Neural Networks for Hyperspectral	anomaly	Detection
Cross-Domain Video	anomaly	Detection without Target Domain Adaptation
Cross-Epoch Learning for Weakly Supervised	anomaly	Detection in Surveillance Videos
Crowd	anomaly	detection and localization using histogram of magnitude and momentum
Crowd	anomaly	Detection via Spatial Constraints and Meaningful Perturbation
Crowd Behavior Representation Using Motion Influence Matrix for	anomaly	Detection
CubeSat Observation of the Radiation Field of the South Atlantic	anomaly
CutPaste: Self-Supervised Learning for	anomaly	Detection and Localization
CVAD-GAN: Constrained video	anomaly	detection via generative adversarial network
Dance with Self-Attention: A New Look of Conditional Random Fields on	anomaly	Detection in Videos
Day on Campus: An	anomaly	Detection Dataset for Events in a Single Camera, A
Day/Night Polarimetric	anomaly	Detection Using SPICE Imagery
Dbscan Optimization for Improving Marine Trajectory Clustering and	anomaly	Detection
Decoupled appearance and motion learning for efficient	anomaly	detection in surveillance video
Deep	anomaly	detection on set data: Survey and comparison
Deep	anomaly	detection with self-supervised learning and adversarial training
Deep	anomaly	Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement
Deep Autoencoders for	anomaly	Detection in Textured Images Using CW-SSIM
Deep Guided Context-aware Network for	anomaly	Detection in Musculoskeletal Radiographs
Deep Learning for	anomaly	Detection: A Review
Deep Learning-Based	anomaly	Detection for Connected Autonomous Vehicles Using Spatiotemporal Information
Deep social force network for	anomaly	event detection
Deep Unsupervised	anomaly	Detection
Deep Unsupervised Image	anomaly	Detection: An Information Theoretic Framework
Deep-	anomaly	: Fully convolutional neural network for fast anomaly detection in crowded scenes
Deep-	anomaly	: Fully convolutional neural network for fast anomaly detection in crowded scenes
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast	anomaly	Detection and Localization in Crowded Scenes
Dense spatio-temporal features for non-parametric	anomaly	detection and localization
DenseHybrid: Hybrid	anomaly	Detection for Dense Open-Set Recognition
Density aware	anomaly	detection in crowded scenes
Depolarization Ratio	anomaly	Detector to Identify Icebergs in Sea Ice Using Dual-Polarization SAR Images, A
Design and Analysis of Multimodel-Based	anomaly	Intrusion Detection Systems in Industrial Process Automation
Destriping Algorithm for SDGSAT-1 Nighttime Light Images Based on	anomaly	Detection and Spectral Similarity Restoration, A
DeSTSeg: Segmentation Guided Denoising Student-Teacher for	anomaly	Detection
Detecting Driver Drowsiness as an	anomaly	Using Lstm Autoencoders
Detecting Regions of Maximal Divergence for Spatio-Temporal	anomaly	Detection
Detecting Taxi Trajectory	anomaly	Based on Spatio-Temporal Relations
Detecting Video	anomaly	with a Stacked Convolutional LSTM Framework
Detection Method and Application of Nuclear-Shaped	anomaly	Areas in Spatial Electric Field Power Spectrum Images
Detection of	anomaly	in surveillance videos using quantum convolutional neural networks
Detection of Fights in Videos: A Comparison Study of	anomaly	Detection and Action Recognition
Detection of Road Surface	anomaly	Using Distributed Fiber Optic Sensing
Developing a generic framework for	anomaly	detection
Deviation-Time-Space-Thermal (DTS-T) Method for Global Earth Observation System of Systems (GEOSS)-Based Earthquake	anomaly	Recognition: Criterions and Quantify Indices, A
Dimensionality Reduction and	anomaly	Detection Based on Kittler's Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces
Discovering Bitcoin Mixing Using	anomaly	Detection
Discovering unknowns: Context-enhanced	anomaly	detection for curiosity-driven autonomous underwater exploration
Discrete neural representations for explainable	anomaly	detection
Discriminative Clip Mining for Video	anomaly	Detection
Discriminative Framework for	anomaly	Detection in Large Videos, A
Discriminative Metric Learning Based	anomaly	Detection Method, A
Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral	anomaly	Detection
Discriminative Reconstruction for Hyperspectral	anomaly	Detection With Spectral Learning
Diversity-Measurable	anomaly	Detection
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised	anomaly	Detection
Do deep neural networks contribute to multivariate time series	anomaly	detection?
Document Authentication Using Printing Technique Features and Unsupervised	anomaly	Detection
Domain	anomaly	Detection in Machine Perception: A System Architecture and Taxonomy
Domain-Transformable Sparse Representation for	anomaly	Detection in Moving-Camera Videos
DoTA: Unsupervised Detection of Traffic	anomaly	in Driving Videos
Downscaling GRACE TWSA Data into High-Resolution Groundwater Level	anomaly	Using Machine Learning-Based Models in a Glacial Aquifer System
Drastic	anomaly	Detection in Video Using Motion Direction Statistics
Driver	anomaly	Detection: A Dataset and Contrastive Learning Approach
DRÆM: A discriminatively trained reconstruction embedding for surface	anomaly	detection
DSR: A Dual Subspace Re-Projection Network for Surface	anomaly	Detection
DSS-Net: Dynamic Self-Supervised Network for Video	anomaly	Detection
Dual-Modality Vehicle	anomaly	Detection via Bilateral Trajectory Tracing
Dual-Mode iterative denoiser: Tackling the weak label for	anomaly	detection
Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic	anomaly	Detection
Dual-View Hyperspectral	anomaly	Detection via Spatial Consistency and Spectral Unmixing
DyAnNet: A Scene Dynamicity Guided Self-Trained Video	anomaly	Detection Network
Dynamic Deep Reinforcement Learning-Bayesian Framework for	anomaly	Detection, A
Dynamic Fusion Module Evolves Drivable Area and Road	anomaly	Detection: A Benchmark and Algorithms
Dynamic Local Aggregation Network with Adaptive Clusterer for	anomaly	Detection
Dynamic scene modelling and	anomaly	detection based on trajectory analysis
Dynamic thresholding for video	anomaly	detection
EAOD-Net: Effective	anomaly	object detection networks for X-ray images
Edge and	anomaly	detection of brain magnetic resonance images in a distributed environment
Efficient and Robust Framework for Hyperspectral	anomaly	Detection, An
Efficient	anomaly	Detection Using Self-Supervised Multi-Cue Tasks
Efficient Approach for	anomaly	Detection in Traffic Videos, An
Efficient Privacy-Preserving	anomaly	Detection and Localization in Bitstream Video
efficient system for	anomaly	detection using deep learning classifier, An
Ellipsoidal neighbourhood outlier factor for distributed	anomaly	detection in resource constrained networks
Embracing Crowdsensing: An Enhanced Mobile Sensing Solution for Road	anomaly	Detection
Encoder-Decoder Contrast for Unsupervised	anomaly	Detection in Medical Images
Encoding Structure-texture Relation with P-net for	anomaly	Detection in Retinal Images
End-to-End Autonomous Driving Risk Analysis: A Behavioural	anomaly	Detection Approach
End-to-end learning for weakly supervised video	anomaly	detection using Absorbing Markov Chain
Enhanced	anomaly	detection in wire ropes by combining structure and appearance
Enhanced	anomaly	scores for isolation forests
Enhancing Hyperspectral	anomaly	Detection with a Novel Differential Network Approach for Precision and Robust Background Suppression
Enhancing Robustness in Federated Learning by Supervised	anomaly	Detection
Enhancing video	anomaly	detection with learnable memory network: A new approach to memory-based auto-encoders
Ensemble Learning Using Bagging And Inception-V3 For	anomaly	Detection In Surveillance Videos
Ensemble of Rejecting Classifiers for	anomaly	Detection of Audio Events, An
epsilon-Optimal Non-Bayesian	anomaly	Detection for Parametric Tomography
Estimating the Carbon Emissions of Remotely Sensed Energy-Intensive Industries Using VIIRS Thermal	anomaly	-Derived Industrial Heat Sources and Auxiliary Data
Euphotic Zone Depth	anomaly	in Global Mesoscale Eddies by Multi-Mission Fusion Data
EVAL: Explainable Video	anomaly	Localization
Evaluating and improving local hyperspectral	anomaly	detectors
Evaluating the SEVIRI Fire Thermal	anomaly	Detection Algorithm across the Central African Republic Using the MODIS Active Fire Product
Evaluation of	anomaly	Detection Algorithms for the Real-World Applications
Evolutionary Deep Learning-Based	anomaly	Detection Model for Securing Vehicles, An
Evolutionary neural networks for	anomaly	detection based on the behavior of a program
Evolving Into a Transformer: From a Training-Free Retrieval-Based Method for	anomaly	Obstacle Segmentation
Existence of Glacier	anomaly	in the Interior and Northern Tibetan Plateau between 2000 and 2012
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised	anomaly	Detection
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video	anomaly	Detection
Exploiting Embedding Manifold of Autoencoders for Hyperspectral	anomaly	Detection
Exploiting Epistemic Uncertainty of Anatomy Segmentation for	anomaly	Detection in Retinal OCT
Exploiting Spatial-temporal Correlations for Video	anomaly	Detection
Exploiting Structured Sparsity for Hyperspectral	anomaly	Detection
Exploration of Data Scene Characterization and 3D ROC Evaluation for Hyperspectral	anomaly	Detection
Exploring Diffusion Models for Unsupervised Video	anomaly	Detection
Exploring the Importance of Pretrained Feature Extractors for Unsupervised	anomaly	Detection and Localization
Exploring the Intrinsic Probability Distribution for Hyperspectral	anomaly	Detection
Extent, Severity, and Temporal Patterns of Damage to Cuba's Ecosystems following Hurricane Irma: MODIS and Sentinel-2 Hurricane Disturbance Vegetation	anomaly	(HDVA)
Extreme Event Discovery With Self-Attention for PM2.5	anomaly	Prediction
Eyecandies Dataset for Unsupervised Multimodal	anomaly	Detection and Localization, The
Fast Hyperspectral	anomaly	Detection Algorithm Based on Greedy Bilateral Smoothing and Extended Multi-Attribute Profile, A
Fast Hyperspectral	anomaly	Detection via High-Order 2-D Crossing Filter
Fast Hyperspectral	anomaly	Detection via SVDD
Fast Magnetization Vector Inversion Method with Undulating Observation Surface in Spherical Coordinate for Revealing Lunar Weak Magnetic	anomaly	Feature
fast multiscale framework for data in high-dimensions: Measure estimation,	anomaly	detection, and compressive measurements, A
Fast sparse coding networks for	anomaly	detection in videos
fast sparse reconstruction approach for high resolution image-based object surface	anomaly	detection, A
Fast Unsupervised	anomaly	Detection in Traffic Videos
FastAno: Fast	anomaly	Detection via Spatio-temporal Patch Transformation
FastRecon: Few-shot Industrial	anomaly	Detection via Fast Feature Reconstruction
Feature Differentiation Reconstruction Network for Weakly-Supervised Video	anomaly	Detection
Feature Prediction Diffusion Model for Video	anomaly	Detection
Feature Selection for SVM-Based Vascular	anomaly	Detection
Few-Shot	anomaly	Detection Using Deep Generative Models for Grouped Data
Few-Shot Domain-Adaptive	anomaly	Detection for Cross-Site Brain Images
Few-shot Scene-adaptive	anomaly	Detection
FewSOME: One-Class Few Shot	anomaly	Detection with Siamese Networks
Flow-Based One-Class	anomaly	Detection with Multi-Frequency Feature Fusion
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image	anomaly	Detection
Fourier Domain	anomaly	Detection and Spectral Fusion for Stripe Noise Removal of TIR Imagery
Fractional Data Distillation Model for	anomaly	Detection in Traffic Videos
Fractional Fourier Transform-Based Tensor RX for Hyperspectral	anomaly	Detection
Frame-Wise Action Recognition Training Framework for Skeleton-Based	anomaly	Behavior Detection
From	anomaly	detection to open set recognition: Bridging the gap
From Difference to Similarity: A Manifold Ranking-Based Hyperspectral	anomaly	Detection Framework
From local temporal correlation to global	anomaly	detection
Fuse-PN: A Novel Architecture for	anomaly	Pattern Segmentation in Aerial Agricultural Images
Fusion of	anomaly	algorithm decision maps and spectrum features for detecting buried explosive Hazards in forward looking infrared imagery
Future Frame Prediction for	anomaly	Detection - A New Baseline
Future Frame Prediction Network for Video	anomaly	Detection
G2D: Generate to Detect	anomaly
Game Theory-Based Hyperspectral	anomaly	Detection
GAN-SR	anomaly	Detection Model Based on Imbalanced Data
G	anomaly	: Semi-supervised Anomaly Detection via Adversarial Training
Gastrointestinal Tract	anomaly	Detection from Endoscopic Videos Using Object Detection Approach
Gaussian Image	anomaly	Detection with Greedy Eigencomponent Selection
Gaussian Process Regression-Based Video	anomaly	Detection and Localization With Hierarchical Feature Representation
Generalization of feature embeddings transferred from different video	anomaly	detection domains
Generalized isolation forest for	anomaly	detection
Generalized support vector data description for	anomaly	detection
Generating Anomalies for Video	anomaly	Detection with Prompt-based Feature Mapping
Generating Synthetic Computed Tomography (CT) Images to Improve the Performance of Machine Learning Model for Pediatric Abdominal	anomaly	Detection
Generative Adversarial Networks With AdaBoost Ensemble Learning for	anomaly	Detection in High-Speed Train Automatic Doors
Generative Cooperative Learning for Unsupervised Video	anomaly	Detection
Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for	anomaly	intrusion detection
GEOSS-Based Thermal Parameters Analysis for Earthquake	anomaly	Recognition
GeoTrackNet: A Maritime	anomaly	Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
GLAD: A Global-to-Local	anomaly	Detector
Glancing at the Patch:	anomaly	Localization with Global and Local Feature Comparison
Global and local	anomaly	detectors for tumor segmentation in dynamic PET acquisitions
Global and Local Real-Time	anomaly	Detectors for Hyperspectral Remote Sensing Imagery
GMAT-DU: Traffic	anomaly	Prediction With Fine Spatiotemporal Granularity in Sparse Data
GODS: Generalized One-Class Discriminative Subspaces for	anomaly	Detection
Granular trajectory based	anomaly	detection for surveillance
Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral	anomaly	Detection
Graph	anomaly	Detection Based on Steiner Connectivity and Density
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for	anomaly	Detection
Graph Embedded Pose Clustering for	anomaly	Detection
Graph fairing convolutional networks for	anomaly	detection
Graph Laplacian for image	anomaly	detection
graph model-based multiscale feature fitting method for unsupervised	anomaly	detection, A
Graph Regularized Autoencoder and its Application in Unsupervised	anomaly	Detection
Gravimetric Geoid Modelling Over Peninsular Malaysia Using Two Different Gridding Approaches for Combining Free Air	anomaly
Gravity	anomaly	Assessment Using GGMS and Airborne Gravity Data Towards Bathymetry Estimation
Green Coverage Detection on Sub-orbital Plantation Images Using	anomaly	Detection
Hashing for Structure-based	anomaly	Detection
Hierarchical activity discovery within spatio-temporal context for video	anomaly	detection
Hierarchical Semantic Contrast for Scene-aware Video	anomaly	Detection
Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant	anomaly	Detection
Hierarchical Spatio-Temporal Graph Convolutional Neural Network for	anomaly	Detection in Videos, A
Hierarchical Transformation-Discriminating Generative Model for Few Shot	anomaly	Detection, A
High-dimensional and large-scale	anomaly	detection using a linear one-class SVM with deep learning
Holistic features for real-time crowd behaviour	anomaly	detection
Horizontal Magnetic	anomaly	Accompanying the Co-Seismic Earthquake Light of the M7.3 Fukushima Earthquake of 16 March 2022: Phenomenon and Mechanism
How to Reduce	anomaly	Detection in Images to Anomaly Detection in Noise
How to Reduce	anomaly	Detection in Images to Anomaly Detection in Noise
HR-Crime: Human-Related	anomaly	Detection in Surveillance Videos
Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video	anomaly	detection
Hybrid Attention and Motion Constraint for	anomaly	Detection in Crowded Scenes
hybrid Deep Learning Strategy for an	anomaly	Based N-IDS, A
Hybrid Deep-Learning-Based	anomaly	Detection Scheme for Suspicious Flow Detection in SDN: A Social Multimedia Perspective
Hybrid Group	anomaly	Detection for Sequence Data: Application to Trajectory Data Analytics
Hybrid Video	anomaly	Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction, A
Hypergraph-Based	anomaly	Detection of High-Dimensional Co-Occurrences
Hyperspectral	anomaly	Detection Algorithm Based on Morphological Profile and Attribute Filter with Band Selection and Automatic Determination of Maximum Area, A
Hyperspectral	anomaly	Detection Based on Improved RPCA with Non-Convex Regularization
Hyperspectral	anomaly	Detection Based on Low-Rank Representation and Learned Dictionary
Hyperspectral	anomaly	Detection Based on Regularized Background Abundance Tensor Decomposition
Hyperspectral	anomaly	Detection Based on Separability-Aware Sample Cascade
Hyperspectral	anomaly	detection based on variational background inference and generative adversarial network
Hyperspectral	anomaly	Detection Based on Wasserstein Distance and Spatial Filtering
Hyperspectral	anomaly	Detection by Graph Pixel Selection
Hyperspectral	anomaly	Detection In Urban Scenarios
Hyperspectral	anomaly	Detection Method Based on Low-Rank and Sparse Decomposition With Density Peak Guided Collaborative Representation, A
Hyperspectral	anomaly	Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition
Hyperspectral	anomaly	Detection Using Deep Learning: A Review
Hyperspectral	anomaly	detection using differential image
Hyperspectral	anomaly	Detection Using Dual Window Density
Hyperspectral	anomaly	detection using kernel rx-algorithm
Hyperspectral	anomaly	detection using outlier removal from collaborative representation
Hyperspectral	anomaly	Detection Using Spatial-Spectral-Based Union Dictionary and Improved Saliency Weight
Hyperspectral	anomaly	Detection via a Sparsity Score Estimation Framework
Hyperspectral	anomaly	Detection via Background and Potential Anomaly Dictionaries Construction
Hyperspectral	anomaly	Detection via Background and Potential Anomaly Dictionaries Construction
Hyperspectral	anomaly	Detection via Background Estimation and Adaptive Weighted Sparse Representation
Hyperspectral	anomaly	Detection via Deep Plug-and-Play Denoising CNN Regularization
Hyperspectral	anomaly	detection via density peak clustering
Hyperspectral	anomaly	Detection via Dictionary Construction-Based Low-Rank Representation and Adaptive Weighting
Hyperspectral	anomaly	Detection via Discriminative Feature Learning with Multiple-Dictionary Sparse Representation
Hyperspectral	anomaly	Detection via Dual Dictionaries Construction Guided by Two-Stage Complementary Decision
Hyperspectral	anomaly	Detection via Graph Dictionary-Based Low Rank Decomposition with Texture Feature Extraction
Hyperspectral	anomaly	Detection via Image Super-Resolution Processing and Spatial Correlation
Hyperspectral	anomaly	Detection via Locally Enhanced Low-Rank Prior
Hyperspectral	anomaly	Detection via Spatial Density Background Purification
Hyperspectral	anomaly	detection via weighted-sparsity-regularized tensor linear representation
Hyperspectral	anomaly	Detection With Attribute and Edge-Preserving Filters
Hyperspectral	anomaly	Detection with Auto-Encoder and Independent Target
Hyperspectral	anomaly	Detection with Differential Attribute Profiles and Genetic Algorithms
Hyperspectral	anomaly	Detection with Harmonic Analysis and Low-Rank Decomposition
Hyperspectral	anomaly	Detection With Kernel Isolation Forest
Hyperspectral Band Selection for Spectral-Spatial	anomaly	Detection
Hyperspectral Data	anomaly	Detection, Hyper-Spectral Anomaly
Hyperspectral Data	anomaly	Detection, Hyper-Spectral Anomaly
Hyperspectral Image Denoising and	anomaly	Detection Based on Low-Rank and Sparse Representations
Identification of environmental	anomaly	hot spots in West Africa from time series of NDVI and rainfall
Identifying effective trajectory predictions under the guidance of trajectory	anomaly	detection model
Image	anomaly	Detection by Aggregating Deep Pyramidal Representations
Image	anomaly	detection for IoT equipment based on deep learning
Image	anomaly	Detection with Capsule Networks and Imbalanced Datasets
Impacts of the Kuroshio Intrusion through the Luzon Strait on the Local Precipitation	anomaly
Improved	anomaly	detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise
Improved	anomaly	detection in crowded scenes via cell-based analysis of foreground speed, size and texture
Improved Central Attention Network-Based Tensor RX for Hyperspectral	anomaly	Detection
improvement of the state-of-the-art covariance-based methods for statistical	anomaly	detection algorithms, An
Improving	anomaly	Detection Fusion Method of Rotating Machinery Based on ANN and Isolation Forest
Improving Sea Level	anomaly	Precision from Satellite Altimetry Using Parameter Correction in the Red Sea
Improving the Accuracy of Water Storage	anomaly	Trends Based on a New Statistical Correction Hydrological Model Weighting Method
Improving the Inversion Accuracy of Terrestrial Water Storage	anomaly	by Combining GNSS and LSTM Algorithm and Its Application in Mainland China
Incongruence-Based	anomaly	Detection Strategy for Analyzing Water Pollution in Images from Remote Sensing, An
Incorporating Persistent Scatterer Interferometry and Radon	anomaly	to Understand the Anar Fault Mechanism and Observing New Evidence of Intensified Activity
Independent Component Analysis-Based Estimation of	anomaly	Abundances in Hyperspectral Images
Individualized Statistical Modeling of Lesions in Fundus Images for	anomaly	Detection
Industrial	anomaly	detection with multiscale autoencoder and deep feature extractor-based neural network
Influence-Aware Attention Networks for	anomaly	Detection in Surveillance Videos
Inpainting Transformer for	anomaly	Detection
Integrating prediction and reconstruction for	anomaly	detection
Intelligent	anomaly	Detection of Trajectories for IoT Empowered Maritime Transportation Systems
Intelligent Deep Fusion Network for	anomaly	Identification in Maritime Transportation Systems
Intelligent video	anomaly	detection and classification using faster RCNN with deep reinforcement learning model
Inter-Realization Channels: Unsupervised	anomaly	Detection Beyond One-Class Classification
Interactive Context-Aware	anomaly	Detection Guided by User Feedback
Ionospheric	anomaly	Monitor Based on the One Class Support Vector Algorithm for the Ground-Based Augmentation System, An
Isostatic	anomaly	and Isostatic Additional Force Analysis by Multiple Geodetic Observations in Qinling Area
Iterative Boolean combination of classifiers in the ROC space: An application to	anomaly	detection with HMMs
Joint	anomaly	Detection and Inpainting for Microscopy Images Via Deep Self-Supervised Learning
Joint	anomaly	Detection and Spectral Unmixing for Planetary Hyperspectral Images
Joint Reconstruction and	anomaly	Detection From Compressive Hyperspectral Images Using Mahalanobis Distance-Regularized Tensor RPCA
Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and	anomaly	Detection, A
Kernel Minimum Noise Fraction Transformation-Based Background Separation Model for Hyperspectral	anomaly	Detection
Kernel RX-algorithm: A nonlinear	anomaly	detector for hyperspectral imagery
Lattice-Based	anomaly	Rectification for Sport Video Annotation
Learnable Locality-Sensitive Hashing for Video	anomaly	Detection
Learning Appearance-Motion Synergy via Memory-Guided Event Prediction for Video	anomaly	Detection
Learning Causal Temporal Relation and Feature Discrimination for	anomaly	Detection
Learning deep feature correspondence for unsupervised	anomaly	detection and segmentation
Learning Disentangled Feature Representations For	anomaly	Detection
Learning Driver Braking Behavior Using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road	anomaly	Case Study
Learning Graph Enhanced Spatial-Temporal Coherence for Video	anomaly	Detection
Learning Memory-Guided Normality for	anomaly	Detection
Learning object motion patterns for	anomaly	detection and improved object detection
Learning of Linear Video Prediction Models In A Multi-Modal Framework for	anomaly	Detection
Learning Regularity in Skeleton Trajectories for	anomaly	Detection in Videos
Learning Second Order Local	anomaly	for General Face Forgery Detection
Learning Traces by Yourself: Blind Image Forgery Localization via	anomaly	Detection With ViT-VAE
Learning Unsupervised Metaformer for	anomaly	Detection
least-squares approach to	anomaly	detection in static and sequential data, A
Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for	anomaly	Detection
Lightweight Hyperspectral Image	anomaly	Detector for Real-Time Mission, A
Line-by-Line Fast	anomaly	Detector for Hyperspectral Imagery, A
Local	anomaly	detection in crowded scenes using Finite-Time Lyapunov Exponent based clustering
Local	anomaly	Detection in Videos Using Object-centric Adversarial Learning
Locality Constrained Low Rank Representation and Automatic Dictionary Learning for Hyperspectral	anomaly	Detection
Localized	anomaly	detection via hierarchical integrated activity discovery
Locally Varying Distance Transform for Unsupervised Visual	anomaly	Detection
Locating Seismo-Conductivity	anomaly	before the 2017 MW 6.5 Jiuzhaigou Earthquake in China Using Far Magnetic Stations
Long short-term memory based	anomaly	detection: A case study of China railway passenger ticketing system
Look Around for Anomalies: Weakly-Supervised	anomaly	Detection via Context-Motion Relational Learning
Look at Adjacent Frames: Video	anomaly	Detection Without Offline Training
Low rank and collaborative representation for hyperspectral	anomaly	detection via robust dictionary construction
Low-Rank and Sparse Decomposition With Mixture of Gaussian for Hyperspectral	anomaly	Detection
Low-Rank and Sparse Matrix Decomposition with Cluster Weighting for Hyperspectral	anomaly	Detection
Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral	anomaly	Detection, A
Low-rank tensor decomposition based	anomaly	detection for hyperspectral imagery
LRGAN: Visual	anomaly	detection using GAN with locality-preferred recoding
MAEDAY: MAE for few- and zero-shot	anomaly	-Detection
Magnetic	anomaly	Characteristics and Magnetic Basement Structure in Earthquake-Affected Changning Area of Southern Sichuan Basin, China: A New Perspective from Land-Based Stations
Magnetic	anomaly	Detection and Localization Using Orthogonal Basis of Magnetic Tensor Contraction
Main-Auxiliary Aggregation Strategy for Video	anomaly	Detection
MAMA Net: Multi-Scale Attention Memory Autoencoder Network for	anomaly	Detection
Manhattan-Pyramid Distance: A solution to an	anomaly	in pyramid matching by minimization
Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised	anomaly	Detection
Maritime	anomaly	Detection in a Real-World Scenario: Ever Given Grounding in the Suez Canal
Mass	anomaly	depth estimation from Full Tensor Gradient gravity data
MBMF: Constructing memory banks of multi-scale features for	anomaly	detection
Memorizing Normality to Detect	anomaly	: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection
Memorizing Normality to Detect	anomaly	: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection
Memory-augmented appearance-motion network for video	anomaly	detection
Memory-efficient and GPU-oriented visual	anomaly	detection with incremental dimension reduction
Memory-Token Transformer for Unsupervised Video	anomaly	Detection
method of	anomaly	detection and fault diagnosis with online adaptive learning under small training samples, A
MIAD: A Maintenance Inspection Dataset for Unsupervised	anomaly	Detection
Mid-level feature set for specific event and	anomaly	detection in crowded scenes
Minimal Learning Machine In	anomaly	Detection From Hyperspectral Images
MIST: Multiple Instance Self-Training Framework for Video	anomaly	Detection
Mixed Distillation for Unsupervised	anomaly	Detection
Model for Expressing Industrial Information Based on Object-Oriented Industrial Heat Sources Detected Using Multi-Source Thermal	anomaly	Data in China, A
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for	anomaly	Detection
Models and Methods for Automated Background Density Estimation in Hyperspectral	anomaly	Detection
Mono versus Multi-view tracking-based model for automatic scene activity modeling and	anomaly	detection
MSAF: Multimodal Supervise-Attention Enhanced Fusion for Video	anomaly	Detection
Multi-branch Neural Networks for Video	anomaly	Detection in Adverse Lighting and Weather Conditions
Multi-camera open space human activity discovery for	anomaly	detection
Multi-Class Hypersphere	anomaly	Detection
Multi-Contextual Predictions with Vision Transformer for Video	anomaly	Detection
Multi-Dimensional Low-Rank with Weighted Schatten p-Norm Minimization for Hyperspectral	anomaly	Detection
Multi-Encoder Towards Effective	anomaly	Detection in Videos
Multi-Granularity Tracking with Modularlized Components for Unsupervised Vehicles	anomaly	Detection
Multi-perspective	anomaly	prediction using neural networks
Multi-Prior Twin Least-Square Network for	anomaly	Detection of Hyperspectral Imagery
Multi-Scale Analysis of Contextual Information Within Spatio-Temporal Video Volumes for	anomaly	Detection
Multi-scale and real-time non-parametric approach for	anomaly	detection and localization
Multi-Scale Background Suppression	anomaly	Detection In Surveillance Videos
Multi-Scale Patch-Based Representation Learning for Image	anomaly	Detection and Segmentation
Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and	anomaly	localization
Multi-Task Learning based Video	anomaly	Detection with Attention
Multi-task learning for video	anomaly	detection
Multi-temporal mesoscale hyperspectral data of mixed agricultural and grassland regions for	anomaly	detection
Multidimensional image processing for remote sensing	anomaly	detection
Multifractal	anomaly	Detection in Images via Space-Scale Surrogates
Multilevel	anomaly	Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents
Multimodal Industrial	anomaly	Detection via Hybrid Fusion
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video	anomaly	Detection
Multiple Features and Isolation Forest-Based Fast	anomaly	Detector for Hyperspectral Imagery
Multiple Hierarchical Dirichlet Processes for	anomaly	detection in traffic
Multiple-Instance Learning for	anomaly	Detection in Digital Mammography
Multiresolution Knowledge Distillation for	anomaly	Detection
Multiscale Hypothesis Testing Approach to	anomaly	Detection and Localization from Noisy Tomographic Data, A
Multiscale hypothesis testing with application to	anomaly	characterization from tomographic projections
Multiscale Segmentation and	anomaly	Enhancement of SAR Imagery
Multiscale spatial temporal attention graph convolution network for skeleton-based	anomaly	behavior detection
Multiscale Superpixel Guided Discriminative Forest for Hyperspectral	anomaly	Detection
multiscale, decision-theoretic algorithm for	anomaly	detection in images based upon scattered radiation, A
Multiscale, Statistical	anomaly	Detection Analysis and Algorithms for Linearized Inverse Scattering Problems
Multisensor	anomaly	Detection and Interpretable Analysis for Linear Induction Motors
Multivariate Gaussian MRF for Multispectral Scene Segmentation and	anomaly	Detection
MVTec AD: A Comprehensive Real-World Dataset for Unsupervised	anomaly	Detection
MVTec	anomaly	Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection, The
MVTec	anomaly	Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection, The
N-pad : Neighboring Pixel-based Industrial	anomaly	Detection
Natural Synthetic Anomalies for Self-supervised	anomaly	Detection and Localization
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised	anomaly	Detection
Neural Network-Based TEC Model Capable of Reproducing Nighttime Winter	anomaly	, A
New 1' × 1' Global Seafloor Topography Model Predicted from Satellite Altimetric Vertical Gravity Gradient	anomaly	and Ship Soundings BAT_VGG2021, A
New Bouguer	anomaly	Map for the Territory of the Slovenia
New Clustering Algorithm for Processing GPS-Based Road	anomaly	Reports With a Mahalanobis Distance, A
New Comprehensive Benchmark for Semi-supervised Video	anomaly	Detection and Anticipation, A
New Dissimilarity Measure for Trajectories with Applications in	anomaly	Detection, A
New Functionalities and Regional/National Use Cases of the	anomaly	Hotspots of Agricultural Production (ASAP) Platform
New GAN-Based	anomaly	Detection (GBAD) Approach for Multi-Threat Object Classification on Large-Scale X-Ray Security Images, A
NM-GAN: Noise-modulated generative adversarial network for video	anomaly	detection
No Shifted Augmentations (NSA): Compact distributions for robust self-supervised	anomaly	Detection
NOAA Operational Microwave Sounding Radiometer Data Quality Monitoring and	anomaly	Assessment Using COSMIC GNSS Radio-Occultation Soundings
Non Orthogonal Component Analysis: Application to	anomaly	Detection
Non-probability sampling network based on	anomaly	pedestrian trajectory discrimination for pedestrian trajectory prediction
Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series	anomaly	Detection
Normality Guided Multiple Instance Learning for Weakly Supervised Video	anomaly	Detection
Normality Learning in Multispace for Video	anomaly	Detection
Normalizing Flows for Human Pose	anomaly	Detection
Novel	anomaly	Score for Isolation Forests, A
Novel Cluster Kernel RX Algorithm for	anomaly	and Change Detection Using Hyperspectral Images, A
Novel Contrastive Learning Framework for Self-Supervised	anomaly	Detection, A
Novel Detection Paradigm and Its Comparison to Statistical and Kernel-Based	anomaly	Detection Algorithms for Hyperspectral Imagery, A
Novel Fully Convolutional Auto-Encoder Based on Dual Clustering and Latent Feature Adversarial Consistency for Hyperspectral	anomaly	Detection, A
Novel GAN-Based	anomaly	Detection and Localization Method for Aerial Video Surveillance at Low Altitude, A
Novel Technique for High-Precision Ionospheric VTEC Estimation and Prediction at the Equatorial Ionization	anomaly	Region: A Case Study over Haikou Station, A
NovelADS: A Novel	anomaly	Detection System for Intra-Vehicular Networks
NSH: Normality Sensitive Hashing for	anomaly	Detection
Object Class Aware Video	anomaly	Detection through Image Translation
Object-Centric and Memory-Guided Normality Reconstruction for Video	anomaly	Detection
Object-Centric	anomaly	Detection by Attribute-Based Reasoning
Object-Centric	anomaly	Detection Using Memory Augmentation
Odd: One-Class	anomaly	Detection Via The Diffusion Model
Omni-Frequency Channel-Selection Representations for Unsupervised	anomaly	Detection
OmniAL: A Unified CNN Framework for Unsupervised	anomaly	Localization
On-line	anomaly	detection and resilience in classifier ensembles
On-the-fly global activity prediction and	anomaly	detection
One-class	anomaly	detection via novelty normalization
OneFlow: One-Class Flow for	anomaly	Detection Based on a Minimal Volume Region
Online and Unsupervised	anomaly	Detection for Streaming Data Using an Array of Sliding Windows and PDDs
Online	anomaly	detection for long-term ECG monitoring using wearable devices
Online	anomaly	Detection in Crowd Scenes via Structure Analysis
Online	anomaly	detection in surveillance videos with asymptotic bound on false alarm rate
Online	anomaly	detection in videos by clustering dynamic exemplars
Online	anomaly	Detection With Nested Trees
Online growing neural GAS for	anomaly	detection in changing surveillance scenes
Online Learning and Sequential	anomaly	Detection in Trajectories
Online Learning with Self-Organizing Maps for	anomaly	Detection in Crowd Scenes
Optimizing interaction force for global	anomaly	detection in crowded scenes
Orthogonal Features Fusion Network for	anomaly	Detection
Orthogonal Subspace Projection-Based Go-Decomposition Approach to Finding Low-Rank and Sparsity Matrices for Hyperspectral	anomaly	Detection
OSIN: Object-Centric Scene Inference Network for Unsupervised Video	anomaly	Detection
Padim: A Patch Distribution Modeling Framework for	anomaly	Detection and Localization
PANDA: Adapting Pretrained Features for	anomaly	Detection and Segmentation
Parallel spatial-temporal convolutional neural networks for	anomaly	detection and location in crowded scenes
Particle Swarm and Pattern Search Optimisation of An Ensemble of Face	anomaly	Detectors
Particle-based tracking model for automatic	anomaly	detection
Patch SVDD: Patch-level Svdd for	anomaly	Detection and Segmentation
Patch-Wise Auto-Encoder for Visual	anomaly	Detection
Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for	anomaly	Detection in Images
PEAR: Positional-encoded Asynchronous Autoregression for satellite	anomaly	detection
PEDENet: Image	anomaly	localization via patch embedding and density estimation
Pedestrian zone	anomaly	detection by non-parametric temporal modelling
Performance Comparison of Contemporary	anomaly	Detectors for Detecting Man-Made Objects in Hyperspectral Images
PGTNet: Prototype Guided Transfer Network for Few-Shot	anomaly	Localization
Phase Fourier Reconstruction for	anomaly	Detection on Metal Surface Using Salient Irregularity
PIF:	anomaly	detection via preference embedding
Pixel-wise	anomaly	Detection in Complex Driving Scenes
Pixel-Wise Energy-Biased Abstention Learning for	anomaly	Segmentation on Complex Urban Driving Scenes
PNI: Industrial	anomaly	Detection using Position and Neighborhood Information
Pose-driven human activity	anomaly	detection in a CCTV-like environment
Post-Disaster Building Damage Detection from Earth Observation Imagery Using Unsupervised and Transferable	anomaly	Detecting Generative Adversarial Networks
Posteriori Hyperspectral	anomaly	Detection for Unlabeled Classification, A
Potential Benefits of Combining	anomaly	Detection with View Planning for UAV Infrastructure Modeling
Potential Mechanism of the Satellite Thermal Infrared Seismic	anomaly	Based on Change in Temperature Caused by Stress Variation: Theoretical, Experimental and Field Investigations, A
PPT:	anomaly	Detection Dataset of Printed Products with Templates
Practices and A Strong Baseline for Traffic	anomaly	Detection
Pre-Seismic	anomaly	Detection from Multichannel Infrared Images of FY-4A Satellite
Precipitation and Soil Moisture Variation over the Tibetan Plateau to the	anomaly	of Indian Summer Monsoon from 1979 to 2019
Predicting Next Local Appearance for Video	anomaly	Detection
Preliminary Analyses Of Beidou Signal-in-space	anomaly	Since 2013
Privacy-Aware	anomaly	Detection Using Semantic Segmentation
Probabilistic Data Structures-Based	anomaly	Detection Scheme for Software-Defined Internet of Vehicles, A
Probabilistic image registration and	anomaly	detection by nonlinear warping
Probing the Limits of	anomaly	Detectors for Automobiles with a Cyberattack Framework
Processing Thermal Infrared Imagery Time-Series from Volcano Permanent Ground-Based Monitoring Network. Latest Methodological Improvements to Characterize Surface Temperatures Behavior of Thermal	anomaly	Areas
Progressive line processing of global and local real-time	anomaly	detection in hyperspectral images
projection pursuit algorithm for	anomaly	detection in hyperspectral imagery, A
Projection-based adaptive	anomaly	detection for hyperspectral imagery
promotion method for generation error-based video	anomaly	detection, A
Prompt-Guided Zero-Shot	anomaly	Action Recognition using Pretrained Deep Skeleton Features
Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to	anomaly	detection in public areas
Prototypical Residual Networks for	anomaly	Detection and Localization
Proxy-Bridged Image Reconstruction Network for	anomaly	Detection in Medical Images
Pull & Push: Leveraging Differential Knowledge Distillation for Efficient Unsupervised	anomaly	Detection and Localization
Quantitative Estimation of Video Forgery with	anomaly	Analysis of Optical Flow
Random-Selection-Based	anomaly	Detector for Hyperspectral Imagery
Randomized Subspace Learning Based	anomaly	Detector for Hyperspectral Imagery, A
RANet: Relationship Attention for Hyperspectral	anomaly	Detection
Range invariant	anomaly	detection for LWIR polarimetric imagery
Real Testbed for Autonomous	anomaly	Detection in Power Grid Using Low-Cost Unmanned Aerial Vehicles and Aerial Imaging
Real time	anomaly	detection in H.264 compressed videos
real time expert system for	anomaly	detection of aerators based on computer vision and surveillance cameras, A
Real-time	anomaly	detection and localization in crowded scenes
Real-Time	anomaly	Detection Based on a Fast Recursive Kernel RX Algorithm
Real-time	anomaly	detection in hyperspectral images using multivariate normal mixture models and GPU processing
Real-Time Dynamic Network	anomaly	Detection
Real-Time Nonparametric	anomaly	Detection in High-Dimensional Settings
Real-time passenger flow	anomaly	detection in metro system
Real-Time Sensor	anomaly	Detection and Identification in Automated Vehicles
Real-Time Sensor	anomaly	Detection and Recovery in Connected Automated Vehicle Sensors
Real-time video	anomaly	detection for smart surveillance
Real-World	anomaly	Detection in Surveillance Videos
Real-World Video	anomaly	Detection by Extracting Salient Features
Realtime	anomaly	Detection Using Trajectory-Level Crowd Behavior Learning
Recognition of Water Colour	anomaly	by Using Hue Angle and Sentinel 2 Image
Reconstruction by inpainting for visual	anomaly	detection
Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral	anomaly	Detection
Reducing	anomaly	Detection in Images to Detection in Noise
Refining Altimeter-Derived Gravity	anomaly	Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea
Region-Based	anomaly	Localisation in Crowded Scenes via Trajectory Analysis and Path Prediction
Region-based Appearance and Flow Characteristics for	anomaly	Detection in Infrared Surveillance Imagery
Registration Based Few-Shot	anomaly	Detection
Regularizing autoencoders with wavelet transform for sequence	anomaly	detection
Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised	anomaly	Detection
Research on prediction method of expressway section traffic flow considering	anomaly	detection probability
Response-Type Road	anomaly	Detection and Evaluation Method for Steady Driving of Automated Vehicles, A
Rethinking Video	anomaly	Detection - A Continual Learning Approach
Reverse Variational Autoencoder for Visual Attribute Manipulation and	anomaly	Detection
Review and comparative evaluation of symbolic dynamic filtering for detection of	anomaly	patterns
Revisit of Sparse Coding Based	anomaly	Detection in Stacked RNN Framework, A
Revisiting Reverse Distillation for	anomaly	Detection
Road	anomaly	Detection by Partial Image Reconstruction with Segmentation Coupling
Road Tracking and	anomaly	Detection in Aerial Imagery
Robust	anomaly	Detection Using Reflectance Transformation Imaging for Surface Quality Inspection
Robust Background Feature Extraction Through Homogeneous Region-Based Joint Sparse Representation for Hyperspectral	anomaly	Detection
robust background regression based score estimation algorithm for hyperspectral	anomaly	detection, A
Robust Cloud Suppression and	anomaly	Detection in Time-Lapse Thermography
Robust Detection of Surface	anomaly	Using Lidar Point Cloud With Intensity
Robust Metric based	anomaly	Detection in Kernel Feature Space
Robust Tracking via Learning Model Update With Unsupervised	anomaly	Detection Philosophy
RX architectures for real-time	anomaly	detection in hyperspectral images
RX-ADS: Interpretable	anomaly	Detection Using Adversarial ML for Electric Vehicle CAN Data
SAE-PPL: Self-guided attention encoder with prior knowledge-guided pseudo labels for weakly supervised video	anomaly	detection
SAGAN: Skip-Attention GAN for	anomaly	Detection
SANO: Score-based Diffusion Model for	anomaly	Localization in Dermatology
SAOCNN: Self-Attention and One-Class Neural Networks for Hyperspectral	anomaly	Detection
Scale-Aware Spatio-Temporal Relation Learning for Video	anomaly	Detection
Scale-invariant	anomaly	detection with multiscale group-sparse models
scale-recursive, statistically-based method for	anomaly	characterization in images based upon observations of scattered radiation, A
Sea Surface Salinity	anomaly	in the Bay of Bengal during the 2010 Extremely Negative IOD Event
Seafloor Topography Estimation from Gravity	anomaly	and Vertical Gravity Gradient Using Nonlinear Iterative Least Square Method
Seasonal Comparison of the Wildfire Emissions in Southern African Region during the Strong ENSO Events of 2010/11 and 2015/16 Using Trend Analysis and	anomaly	Detection
Self-Attention Memory-Augmented Wavelet-CNN for	anomaly	Detection
Self-Reasoning Framework for	anomaly	Detection Using Video-Level Labels, A
Self-Supervised	anomaly	Detection from Anomalous Training Data via Iterative Latent Token Masking
Self-supervised Augmented Patches Segmentation for	anomaly	Detection
Self-Supervised Masked Convolutional Transformer Block for	anomaly	Detection
Self-Supervised Masking for Unsupervised	anomaly	Detection and Localization
Self-Supervised Multi-Scale Cropping and Simple Masked Attentive Predicting for Lung CT-Scan	anomaly	Detection
Self-Supervised Normalizing Flows for Image	anomaly	Detection and Localization
Self-Supervised Predictive Convolutional Attentive Block for	anomaly	Detection
Self-supervised Sparse Representation for Video	anomaly	Detection
Self-Supervised Video Forensics by Audio-Visual	anomaly	Detection
Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual	anomaly	Detection
Self-Trained Deep Ordinal Regression for End-to-End Video	anomaly	Detection
Self-trained prediction model and novel	anomaly	score mechanism for video anomaly detection
Self-trained prediction model and novel	anomaly	score mechanism for video anomaly detection
Semi-Supervised	anomaly	Detection with Contrastive Regularization
Semi-Supervised Learning Approach for Pixel-Level Pavement	anomaly	Detection, A
Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral	anomaly	Detection
Separating Sensor Anomalies From Process Anomalies in Data-Driven	anomaly	Detection
Sequential Monte Carlo Approach to	anomaly	Detection in Tracking Visual Events, A
Ship Detection in High-Resolution Optical Imagery Based on	anomaly	Detector and Local Shape Feature
SI2FM: SID Isolation Double Forest Model for Hyperspectral	anomaly	Detection
Similarity Constrained Convex Nonnegative Matrix Factorization for Hyperspectral	anomaly	Detection
simple graph embedding for	anomaly	detection in a stream of heterogeneous labeled graphs, A
SimpleNet: A Simple Network for Image	anomaly	Detection and Localization
Simulation and Driving Factor Analysis of Satellite-Observed Terrestrial Water Storage	anomaly	in the Pearl River Basin Using Deep Learning
Simultaneous Reconstruction and	anomaly	Detection of Subsampled Hyperspectral Images Using l_(1/2) Regularized Joint Sparse and Low-Rank Recovery
Simultaneous sparsity model for multi-perspective video	anomaly	detection
Sliding Window-Based Joint Sparse Representation (SWJSR) Method for Hyperspectral	anomaly	Detection, A
SMAP and CalCOFI Observe Freshening during the 2014-2016 Northeast Pacific Warm	anomaly
Smartphone-Based Pedestrian's Avoidance Behavior Recognition towards Opportunistic Road	anomaly	Detection
Smartphone-Based System for Detecting Falls Using	anomaly	Detection, A
Social network model for crowd	anomaly	detection and localization
Social Psychology Inspired Distributed Ledger Technique for	anomaly	Detection in Connected Vehicles
Software Vulnerability Detection Based on	anomaly	-Attention
Spacecraft Time-Series	anomaly	Detection Using Transfer Learning
Sparse representation based	anomaly	detection with enhanced local dictionaries
Spatial	anomaly	Detection in Hyperspectral Imaging Using Optical Neural Networks
Spatial-Spectral Joint Hyperspectral	anomaly	Detection Based on a Two-Branch 3D Convolutional Autoencoder and Spatial Filtering
Spatial-Temporal Cascade Autoencoder for Video	anomaly	Detection in Crowded Scenes
Spatial-temporal convolutional neural networks for	anomaly	detection and localization in crowded scenes
Spatial-temporal graph attention network for video	anomaly	detection
Spatially Self-Adaptive Multiparametric	anomaly	Identification Scheme Based on Global Strong Earthquakes, A
Spatio-Temporal	anomaly	Detection for Industrial Robots through Prediction in Unsupervised Feature Space
Spatio-Temporal Enhanced Graph-Transformer AutoEncoder embedded pose for	anomaly	detection, A
Spatio-temporal texture modelling for real-time crowd	anomaly	detection
Spatio-Temporal United Memory for Video	anomaly	Detection
Spatiotemporal consistency-enhanced network for video	anomaly	detection
Spatiotemporal Deformable Prototypes for Motion	anomaly	Detection
Spectral Adversarial Feature Learning for	anomaly	Detection in Hyperspectral Imagery
Spectral-Difference Low-Rank Representation Learning for Hyperspectral	anomaly	Detection
Spectral-Spatial Complementary Decision Fusion for Hyperspectral	anomaly	Detection
Spectral-Spatial Feature Extraction for Hyperspectral	anomaly	Detection
SPot-the-Difference Self-supervised Pre-training for	anomaly	Detection and Segmentation
SQUID: Deep Feature In-Painting for Unsupervised	anomaly	Detection
SSMTL++: Revisiting self-supervised multi-task learning for video	anomaly	detection
Stacking Ensemble for	anomaly	Based Client-Specific Face Spoofing Detection, A
Statistical	anomaly	Detection for Monitoring of Human Dynamics
Statistical	anomaly	Detection in Human Dynamics Monitoring Using a Hierarchical Dirichlet Process Hidden Markov Model
Statistical	anomaly	Detection in Mean and Variation of Energy Consumption
Statistical Detection of an	anomaly	from a Few Noisy Tomographic Projections, A
Statistically Based Methods for	anomaly	Characterization in Images from Observations of Scattered Radiation
Street Scene: A new dataset and evaluation protocol for video	anomaly	detection
Structural inpainting of road patches for	anomaly	detection
Structure Tensor and Guided Filtering-Based Algorithm for Hyperspectral	anomaly	Detection
study of deep convolutional auto-encoders for	anomaly	detection in videos, A
Study of the Spatiotemporal Characteristics of the Equatorial Ionization	anomaly	Using Shipborne Multi-GNSS Data: A Case Analysis (120-150°E, Western Pacific Ocean, 2014-2015)
Subpixel-Pixel-Superpixel Guided Fusion for Hyperspectral	anomaly	Detection
Subspace Modeling for Fast Out-Of-Distribution and	anomaly	Detection
Subspace Selection-Based Discriminative Forest Method for Hyperspectral	anomaly	Detection, A
Superpixel-based statistical	anomaly	detection for sense and avoid
Supervised	anomaly	Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
Supervised Autoencoder Variants for End to End	anomaly	Detection
Support Vector Method for	anomaly	Detection in Hyperspectral Imagery, A
Surface Freshwater Limitation Explains Worst Rice Production	anomaly	in India in 2002
Survey of Single-Scene Video	anomaly	Detection, A
Swarm-based motion features for	anomaly	detection in crowds
SWSSL: Sliding Window-Based Self-Supervised Learning for	anomaly	Detection in High-Resolution Images
Synthetic Temporal	anomaly	Guided End-to-End Video Anomaly Detection
Synthetic Temporal	anomaly	Guided End-to-End Video Anomaly Detection
TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video	anomaly	Detection
Template-guided Hierarchical Feature Restoration for	anomaly	Detection
Temporal Convolutional Network with Complementary Inner Bag Loss for Weakly Supervised	anomaly	Detection
Temporal Cues from Socially Unacceptable Trajectories for	anomaly	Detection
Temporal Evolution of F-Region Equatorial Ionization	anomaly	Owing to the 2022 Tonga Volcanic Eruption, The
Tensor Decomposition-Based	anomaly	Detection Algorithm for Hyperspectral Image, A
Tensor decomposition-based sparsity divergence index for hyperspectral	anomaly	detection
TEVAD: Improved video	anomaly	detection with captions
Texture and semantic convolutional auto-encoder for	anomaly	detection and segmentation
Texture classification-based feature processing for violence-based	anomaly	detection in crowded environments
Textures of optical flow for real-time	anomaly	detection in crowds
Time-Efficient Method for	anomaly	Detection in Hyperspectral Images, A
Topology-preserving transfer learning for weakly-supervised	anomaly	detection and segmentation
Total Variation and Sparsity Regularized Decomposition Model With Union Dictionary for Hyperspectral	anomaly	Detection
Toward Credible Evaluation of	anomaly	-Based Intrusion-Detection Methods
Toward Unsupervised 3d Point Cloud	anomaly	Detection Using Variational Autoencoder
Toward Video	anomaly	Retrieval From Video Anomaly Detection: New Benchmarks and Model
Toward Video	anomaly	Retrieval From Video Anomaly Detection: New Benchmarks and Model
Towards a data-driven adaptive	anomaly	detection system for human activity
Towards Interpretable Video	anomaly	Detection
Towards Open Set Video	anomaly	Detection
Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and	anomaly	Detection
Towards Total Recall in Industrial	anomaly	Detection
Tracking Environmental Compliance and Remediation Trajectories Using Image-Based	anomaly	Detection Methodologies
Traffic	anomaly	Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers
Traffic	anomaly	Detection, Traffic Analysis
Traffic	anomaly	Prediction System Using Predictive Network
Traffic Camera	anomaly	Detection
Training Auxiliary Prototypical Classifiers for Explainable	anomaly	Detection in Medical Image Segmentation
Trajectory Scoring Tool for Local	anomaly	Detection in Maritime Traffic Using Visual Analytics, A
Transformer Based Self-Context Aware Prediction for Few-Shot	anomaly	Detection in Videos
Transformer with Spatio-Temporal Representation for Video	anomaly	Detection
TRASMIL: A local	anomaly	detection framework based on trajectory segmentation and multi-instance learning
Tucker tensor decomposition-based tracking and Gaussian mixture model for	anomaly	localisation and detection in surveillance videos
TUT: Template-Augmented U-Net Transformer for Unsupervised	anomaly	Detection
Two New Methods Based on Implicit Expressions and Corresponding Predictor-Correctors for Gravity	anomaly	Downward Continuation and Their Comparison
Two-Phase	anomaly	Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories, A
Two-Stage Autoencoder for Visual	anomaly	Detection, A
Two-stage coarse-to-fine image	anomaly	segmentation and detection model
Two-stage online inference model for traffic pattern analysis and	anomaly	detection
UAV-based Thermal	anomaly	Detection for Distributed Heating Networks
UBnormal: New Benchmark for Supervised Open-Set Video	anomaly	Detection
Unbiased Multiple Instance Learning for Weakly Supervised Video	anomaly	Detection
Unified	anomaly	Suppression and Boundary Extraction in Laser Radar Range Imagery based on a Joint Curve-Evolution and Expectation-Maximization Algorithm
Unified Framework for	anomaly	Detection of Satellite Images Based on Well-Designed Features and an Artificial Neural Network, A
Unifying Review of Deep and Shallow	anomaly	Detection, A
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for	anomaly	Detection
Uninformed Students: Student-Teacher	anomaly	Detection With Discriminative Latent Embeddings
Universal Data	anomaly	Detection via Inverse Generative Adversary Network
Unmixing Component Analysis for	anomaly	Detection in Hyperspectral Imagery
Unsupervised	anomaly	Detection for Traffic Surveillance Based on Background Modeling
Unsupervised	anomaly	Detection from Time-of-Flight Depth Images
Unsupervised	anomaly	Detection of the First Person in Gait from an Egocentric Camera
Unsupervised	anomaly	Detection Using Variational Autoencoder with Gaussian Random Field Prior
Unsupervised	anomaly	detection via dual transformation-aware embeddings
Unsupervised	anomaly	Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers
Unsupervised	anomaly	Detection with Self-Training and Knowledge Distillation
Unsupervised	anomaly	Localization Using Locally Adaptive Query-Dependent Scores
Unsupervised Encoder-decoder Model for	anomaly	Prediction Task
Unsupervised End-to-End Transformer based approach for Video	anomaly	Detection
Unsupervised Ensemble-Kernel Principal Component Analysis for Hyperspectral	anomaly	Detection
Unsupervised Generative Adversarial Network with Background Enhancement and Irredundant Pooling for Hyperspectral	anomaly	Detection
Unsupervised hybrid	anomaly	detection model for logistics fleet management systems
Unsupervised industrial	anomaly	detection with diffusion models
Unsupervised Learning Approach for Road	anomaly	Segmentation Using RGB-D Sensor for Advanced Driver Assistance System, An
Unsupervised Modeling of Object Tracks for Fast	anomaly	Detection
Unsupervised Surface	anomaly	Detection with Diffusion Probabilistic Model
Unsupervised Variability Normalization for	anomaly	Detection
Unsupervised video	anomaly	detection based on multi-timescale trajectory prediction
Unsupervised video	anomaly	detection via normalizing flows with implicit latent features
Unsupervised Video	anomaly	Detection with Diffusion Models Conditioned on Compact Motion Representations
Using an autoencoder in the design of an	anomaly	detector for smart manufacturing
Using dynamic Bayesian network for scene modeling and	anomaly	detection
Using Low Resolution Satellite Imagery for Yield Prediction and Yield	anomaly	Detection
Vehicular Trajectory Classification and Traffic	anomaly	Detection in Videos Using a Hybrid CNN-VAE Architecture
Velocity	anomaly	of Campbell Glacier, East Antarctica, Observed by Double-Differential Interferometric SAR and Ice Penetrating Radar
video analytics framework for amorphous and unstructured	anomaly	detection, A
Video	anomaly	Detection
Video	anomaly	Detection and Localization Based on an Adaptive Intra-Frame Classification Network
Video	anomaly	detection and localization using hierarchical feature representation and Gaussian process regression
Video	anomaly	detection and localization using motion-field shape description and homogeneity testing
Video	anomaly	detection and localization via Gaussian Mixture Fully Convolutional Variational Autoencoder
Video	anomaly	Detection Based on Adaptive Multiple Auto-Encoders
Video	anomaly	detection based on local statistical aggregates
Video	anomaly	detection based on locality sensitive hashing filters
Video	anomaly	Detection by Estimating Likelihood of Representations
Video	anomaly	Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Video	anomaly	Detection in Real Time on a Power-Aware Heterogeneous Platform
Video	anomaly	detection in spatiotemporal context
Video	anomaly	detection using CycleGan based on skeleton features
Video	anomaly	detection using deep incremental slow feature analysis network
Video	anomaly	detection using deep residual-spatiotemporal translation network
Video	anomaly	Detection Using Encoder-Decoder Networks with Video Vision Transformer and Channel Attention Blocks
Video	anomaly	Detection Using Open Data Filter and Domain Adaptation
Video	anomaly	Detection via Sequentially Learning Multiple Pretext Tasks
Video	anomaly	Detection With Compact Feature Sets for Online Performance
Video	anomaly	detection with NTCN-ML: A novel TCN for multi-instance learning
Video	anomaly	Detection with Sparse Coding Inspired Deep Neural Networks
Video	anomaly	detection with spatio-temporal dissociation
Video	anomaly	Identification
Video Behavior Profiling for	anomaly	Detection
Video Event Restoration Based on Keyframes for Video	anomaly	Detection
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware	anomaly	Detection
Vision-based System for Traffic	anomaly	Detection using Deep Learning and Decision Trees, A
Visual	anomaly	and Novelty Detection
Visual	anomaly	Detection via Partition Memory Bank Module and Error Estimation
Visual Structural Assessment and	anomaly	Detection for High-Velocity Data Streams
visual-numeric approach to clustering and	anomaly	detection for trajectory data, A
Weakly Supervised	anomaly	Detection in Videos Considering the Openness of Events
Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and	anomaly	Detection, A
Weakly Supervised Temporal	anomaly	Segmentation with Dynamic Time Warping
Weakly Supervised Video	anomaly	Detection via Transformer-Enabled Temporal Relation Learning
Weakly-supervised Joint	anomaly	Detection and Classification
Weakly-supervised Video	anomaly	Detection with Robust Temporal Feature Magnitude Learning
Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal	anomaly	Area in the Plateau: A Case Study of the Sichuan-Tibet Railway
Weighted subspace	anomaly	detection in high-dimensional space
West Kunlun Glacier	anomaly	and Its Response to Climate Forcing during 2002-2020, The
What Makes a Good Data Augmentation for Few-Shot Unsupervised Image	anomaly	Detection?
Why is this an	anomaly	? Explaining anomalies using sequential explanations
WinCLIP: Zero-/Few-Shot	anomaly	Classification and Segmentation
Zero-shot versus Many-shot: Unsupervised Texture	anomaly	Detection

969 for anomaly

_	anomaly3d	_
	anomaly3d	: Video anomaly detection based on 3D-normality clusters

Index for "a"