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How to Reduce Anomaly Detection in Images to Anomaly Detection in Noise
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-46145-0_17openalex-snapshot
Outlier Detection Using Replicator Neural Networks
inferredcites →https://doi.org/10.1007/978-0-387-74378-3openalex-snapshot
From Gestalt Theory to Image Analysis : A Probabilistic Approach
inferredcites →https://doi.org/10.1007/978-1-4613-2551-2openalex-snapshot
Perceptual Organization and Visual Recognition
inferredcites →https://doi.org/10.1007/978-3-319-59050-9_12openalex-snapshot
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
inferredcites →https://doi.org/10.1007/978-3-642-21227-7_62openalex-snapshot
Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation
inferredcites →https://doi.org/10.1007/978-3-642-33709-3_41openalex-snapshot
A Parameterless Line Segment and Elliptical Arc Detector with Enhanced Ellipse Fitting
inferredcites →https://doi.org/10.1007/bfb0033283openalex-snapshot
Outlier detection using classifier instability
inferredcites →https://doi.org/10.1007/s00138-008-0146-yopenalex-snapshot
Defect detection in patterned wafers using anisotropic kernels
inferredcites →https://doi.org/10.1007/s00170-009-2211-8openalex-snapshot
A novel internal thread defect auto-inspection system
inferredcites →https://doi.org/10.1007/s10851-008-0111-4openalex-snapshot
A-contrario Detectability of Spots in Textured Backgrounds
inferredcites →https://doi.org/10.1007/s11263-006-0009-9openalex-snapshot
Detecting Irregularities in Images and in Video
inferredcites →https://doi.org/10.1007/s11263-007-0052-1openalex-snapshot
Nonlocal Image and Movie Denoising
inferredcites →https://doi.org/10.1007/s11265-014-0913-0openalex-snapshot
Sparse Coding with Anomaly Detection
inferredcites →https://doi.org/10.1016/j.image.2013.03.009openalex-snapshot
RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
inferredcites →https://doi.org/10.1016/j.neucom.2013.12.002openalex-snapshot
An experimental evaluation of novelty detection methods
inferredcites →https://doi.org/10.1016/j.sigpro.2003.07.018openalex-snapshot
Novelty detection: a review—part 1: statistical approaches
inferredcites →https://doi.org/10.1016/j.sigpro.2004.04.004openalex-snapshot
Anomaly detection based on an iterative local statistics approach
inferredcites →https://doi.org/10.1016/j.sigpro.2013.12.026openalex-snapshot
A review of novelty detection
inferredcites →https://doi.org/10.1016/s0031-3203(03)00005-0openalex-snapshot
Neural network based detection of local textile defects
inferredcites →https://doi.org/10.1016/s0042-6989(99)00163-7openalex-snapshot
A saliency-based search mechanism for overt and covert shifts of visual attention
inferredcites →https://doi.org/10.1016/s0262-8856(03)00007-6openalex-snapshot
Automated surface inspection for statistical textures
inferredcites →https://doi.org/10.1016/s0262-8856(99)00009-8openalex-snapshot
Automated surface inspection for directional textures
inferredcites →https://doi.org/10.1023/b:visi.0000013094.38752.54openalex-snapshot
A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1049/cp:19950597openalex-snapshot
Novelty detection for the identification of masses in mammograms
inferredcites →https://doi.org/10.1093/biomet/35.3-4.246openalex-snapshot
THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
inferredcites →https://doi.org/10.1109/34.730558openalex-snapshot
A model of saliency-based visual attention for rapid scene analysis
inferredcites →https://doi.org/10.1109/cvpr.2005.38openalex-snapshot
A Non-Local Algorithm for Image Denoising
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2011.5995506openalex-snapshot
Saliency estimation using a non-parametric low-level vision model
inferredcites →https://doi.org/10.1109/cvpr.2012.6247711openalex-snapshot
Exploiting local and global patch rarities for saliency detection
inferredcites →https://doi.org/10.1109/cvpr.2012.6247852openalex-snapshot
See all by looking at a few: Sparse modeling for finding representative objects
inferredcites →https://doi.org/10.1109/cvpr.2013.271openalex-snapshot
Salient Object Detection: A Discriminative Regional Feature Integration Approach
inferredcites →https://doi.org/10.1109/cvpr.2014.72openalex-snapshot
Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains
inferredcites →https://doi.org/10.1109/cvpr.2018.00123openalex-snapshot
On the Convergence of PatchMatch and Its Variants
inferredcites →https://doi.org/10.1109/cvprw.2013.38openalex-snapshot
Detection of Mirror-Symmetric Image Patches
inferredcites →https://doi.org/10.1109/icassp.2014.6854115openalex-snapshot
Multiscale anomaly detection using diffusion maps and saliency score
inferredcites →https://doi.org/10.1109/icassp.2017.7952464openalex-snapshot
Image denoising via group sparsity residual constraint
inferredcites →https://doi.org/10.1109/iccv.1998.710815openalex-snapshot
Bilateral filtering for gray and color images
inferredcites →https://doi.org/10.1109/iccv.1999.790383openalex-snapshot
Texture synthesis by non-parametric sampling
inferredcites →https://doi.org/10.1109/iccv.2001.937669openalex-snapshot
Finding "anomalies" in an arbitrary image
inferredcites →https://doi.org/10.1109/iccv.2015.38openalex-snapshot
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
inferredcites →https://doi.org/10.1109/icip.2018.8451059openalex-snapshot
Reducing Anomaly Detection in Images to Detection in Noise
inferredcites →https://doi.org/10.1109/ijcnn.2015.7280790openalex-snapshot
Detecting anomalous structures by convolutional sparse models
inferredcites →https://doi.org/10.1109/inteles.2014.7008985openalex-snapshot
Novelty detection in images by sparse representations
inferredcites →https://doi.org/10.1109/jstsp.2012.2232279openalex-snapshot
Multiscale Anomaly Detection Using Diffusion Maps
inferredcites →https://doi.org/10.1109/tgrs.2010.2081677openalex-snapshot
Random-Selection-Based Anomaly Detector for Hyperspectral Imagery
inferredcites →https://doi.org/10.1109/tip.2007.901238openalex-snapshot
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
inferredcites →https://doi.org/10.1109/tip.2015.2487833openalex-snapshot
Salient Object Detection: A Benchmark
inferredcites →https://doi.org/10.1109/tpami.2007.1038openalex-snapshot
TEXEMS: Texture Exemplars for Defect Detection on Random Textured Surfaces
inferredcites →https://doi.org/10.1109/tpami.2008.300openalex-snapshot
LSD: A Fast Line Segment Detector with a False Detection Control
inferredcites →https://doi.org/10.1109/tpami.2011.272openalex-snapshot
Context-Aware Saliency Detection
inferredcites →https://doi.org/10.1167/9.12.15openalex-snapshot
Static and space-time visual saliency detection by self-resemblance
inferredcites →https://doi.org/10.4310/amsa.2018.v3.n1.a4openalex-snapshot
A survey of exemplar-based texture synthesis
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.5220/0006175601240134openalex-snapshot
Global Patch Search Boosts Video Denoising
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-19-6153-3_8openalex-snapshot
A Contrario Multi-scale Anomaly Detection Method for Industrial Quality Inspection
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110312openalex-snapshot
Deep-NFA: A deep a contrario framework for tiny object detection
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746060openalex-snapshot
The Impact of JPEG Compression on Prior Image Noise
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446505openalex-snapshot
A Contrario Paradigm for Yolo-Based Infrared Small Target Detection
inferred← citeshttps://doi.org/10.1109/icivc58118.2023.10270699openalex-snapshot
JADE OWL: JPEG 2000 Forensics by Wavelet Offset Consistency Analysis
inferred← citeshttps://doi.org/10.3390/electronics10222836openalex-snapshot
Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir
inferred← citeshttps://doi.org/10.5201/ipol.2023.420openalex-snapshot
A Signal-dependent Video Noise Estimator Via Inter-frame Signal Suppression
inferred← citeshttps://doi.org/10.70675/32b136a8z9b19z4a33zb61ezdfe42261ce4bopenalex-snapshot
The avatars of noise in digital images and their use in image forensics
inferred← citeshttps://doi.org/10.70675/6f1a76a7zb534z4d4ez9910z0ec1e009d900openalex-snapshot
Modélisation de fonds complexes statiques et en mouvement : application à la détection d'événements rares dans les séries d'images
inferred← citeshttps://doi.org/10.70675/da286690za2ecz402dz9ac6zc73405ce751aopenalex-snapshot
Small target detection using deep learning
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