An aerial color image anomaly dataset for search missions in complex forested terrain | Paper Citation Record

Observation 92717ce6-5d8c-404c-8e2d-f283829fa517 · outbound

This paper cites Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution.

An aerial color image anomaly dataset for search missions in complex forested terrain Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution

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Observation 4623849e-64e4-4dd1-9b0d-0d4c44e84b3f · outbound

This paper cites FRE: A Fast Method For Anomaly Detection And Segmentation.

An aerial color image anomaly dataset for search missions in complex forested terrain FRE: A Fast Method For Anomaly Detection And Segmentation

Reference 2

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This paper cites FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows.

An aerial color image anomaly dataset for search missions in complex forested terrain FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Reference 3

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Observation 848f2c20-9c4f-44b3-a3d3-c239d3ba4198 · outbound

This paper cites Efficientad: Accurate visual anomaly detection at millisecond-level latencies.

An aerial color image anomaly dataset for search missions in complex forested terrain Efficientad: Accurate visual anomaly detection at millisecond-level latencies

Reference 4

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Observation 84b78037-35b5-4f82-89e4-899f6b281500 · outbound

This paper cites Anomaly detection and classification for hyperspectral imagery.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection and classification for hyperspectral imagery

Reference 5

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Observation 7778ebc2-bd0f-458f-bf24-75f92e52d0d4 · outbound

This paper cites A novel anomaly detection scheme based on principal component classifier.

An aerial color image anomaly dataset for search missions in complex forested terrain A novel anomaly detection scheme based on principal component classifier

Reference 6

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Observation f7720830-1070-4e0b-9822-eea5ef3a5d63 · outbound

This paper cites Spectral anomaly detection with machine learning for wilderness search and rescue.

An aerial color image anomaly dataset for search missions in complex forested terrain Spectral anomaly detection with machine learning for wilderness search and rescue

Reference 7

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Observation ad61c617-4436-44ce-a04d-e5c531e6e89a · outbound

This paper cites Color anomaly detection and suggestion for wilderness search and rescue.

An aerial color image anomaly dataset for search missions in complex forested terrain Color anomaly detection and suggestion for wilderness search and rescue

Reference 8

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Observation f254d1e0-8209-4e8f-b18b-7ba4673efafc · outbound

This paper cites Color outlier detection for search and rescue.

An aerial color image anomaly dataset for search missions in complex forested terrain Color outlier detection for search and rescue

Reference 9

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Observation c19ac783-7ae3-4654-be1a-3ddf0644c503 · outbound

This paper cites Anomaly color detection on uav images for search and rescue works.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly color detection on uav images for search and rescue works

Reference 10

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Observation 696e6dca-5ad2-4b64-ada8-edb180907c0f · outbound

This paper cites A DWT-SVDD Anomaly Detection Algorithm Using Hyperspectral Remote Sensing in Marine Search and Rescue.

An aerial color image anomaly dataset for search missions in complex forested terrain A DWT-SVDD Anomaly Detection Algorithm Using Hyperspectral Remote Sensing in Marine Search and Rescue

Reference 11

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Observation 74d5e575-000c-4646-a687-553f8ae5f71d · outbound

This paper cites ResQuad: Toward a semi-autonomous wilderness search and rescue unmanned aerial system.

An aerial color image anomaly dataset for search missions in complex forested terrain ResQuad: Toward a semi-autonomous wilderness search and rescue unmanned aerial system

Reference 12

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Observation 6369c363-97ba-41f9-9bdb-aaefe072106d · outbound

This paper cites Anomaly Detection from Aerial Images for Search and Rescue Missions.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly Detection from Aerial Images for Search and Rescue Missions

Reference 13

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Observation 1b35345e-9bf1-44e0-b06d-daf585c0b98d · outbound

This paper cites Anomaly Detection Methods for Maritime Search and Rescue.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly Detection Methods for Maritime Search and Rescue

Reference 14

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Observation a5797af7-061c-454b-b2ab-8c9e50dc9748 · outbound

This paper cites Evaluation of color anomaly detection in multispectral images for synthetic aperture sensing.

An aerial color image anomaly dataset for search missions in complex forested terrain Evaluation of color anomaly detection in multispectral images for synthetic aperture sensing

Reference 15

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Observation 334a0722-f5ae-458f-b03d-d5577bbc7693 · outbound

This paper cites Anomaly detection in aerial imagery using color and texture features.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection in aerial imagery using color and texture features

Reference 16

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Observation b4ac17fd-ac0d-4961-855e-c2d82f51c193 · outbound

This paper cites Anomaly Detection in Species Distribution Patterns: A Spatio-Temporal Approach for Biodiversity Conservation.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly Detection in Species Distribution Patterns: A Spatio-Temporal Approach for Biodiversity Conservation

Reference 17

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Observation 308c4313-564e-4f44-b0b5-4235afabfd18 · outbound

This paper cites Anomaly detection for the automated visual inspection of pet preform closures.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection for the automated visual inspection of pet preform closures

Reference 18

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Observation e855ee74-6891-4229-92cd-e5dd62e181cf · outbound

This paper cites Developing an Anomaly Detection System for Automatic Defective Products’ Inspection.

An aerial color image anomaly dataset for search missions in complex forested terrain Developing an Anomaly Detection System for Automatic Defective Products’ Inspection

Reference 19

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Observation 89cd0ee8-790b-4f7b-b01a-c63b01ea1cbf · outbound

This paper cites A Collaborative Robotic Approach for Inspection and Anomaly Detection in Industrial Applica- tions.

An aerial color image anomaly dataset for search missions in complex forested terrain A Collaborative Robotic Approach for Inspection and Anomaly Detection in Industrial Applica- tions

Reference 20

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Observation 5fa6923f-c528-4a68-94e3-1e1d3a0536c9 · outbound

This paper cites Anomaly detection for industrial surface inspection: application in maintenance of aircraft components.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection for industrial surface inspection: application in maintenance of aircraft components

Reference 21

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Observation 961ae76a-a2d8-4f1b-b2dd-37380ce63cb0 · outbound

This paper cites Industrial anomaly detection and one-class classification using generative adversarial networks.

An aerial color image anomaly dataset for search missions in complex forested terrain Industrial anomaly detection and one-class classification using generative adversarial networks

Reference 22

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Observation 9b1c541a-c911-4cdc-83b5-be66926c2a1e · outbound

This paper cites Automated optical inspection using anomaly detection and unsupervised defect clustering.

An aerial color image anomaly dataset for search missions in complex forested terrain Automated optical inspection using anomaly detection and unsupervised defect clustering

Reference 23

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Observation 75492354-0d30-4a44-b6c1-daec21add843 · outbound

This paper cites Anomaly detection using deep learning based image completion.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection using deep learning based image completion

Reference 24

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Observation b2a5a36c-768f-4a76-ae5d-aa94208768d5 · outbound

This paper cites Anomaly detection neural network with dual auto-encoders GAN and its industrial inspection applications.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection neural network with dual auto-encoders GAN and its industrial inspection applications

Reference 25

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Observation e547fdd0-69e7-4adf-8cb0-a3339efa7527 · outbound

This paper cites Anomaly Detection for Industrial Inspection using Convolutional Autoencoder and Deep Feature-based One-class Classification.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly Detection for Industrial Inspection using Convolutional Autoencoder and Deep Feature-based One-class Classification

Reference 26

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Observation b0038692-78c6-4e65-ab3f-cde9fa923ad0 · outbound

This paper cites Advanced Color Pseudo Anomaly to Enhance Learning of Convolutional Neural Network Models.

An aerial color image anomaly dataset for search missions in complex forested terrain Advanced Color Pseudo Anomaly to Enhance Learning of Convolutional Neural Network Models

Reference 27

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Observation a085d1f9-aaa0-451f-913d-e229d0e24e0d · outbound

This paper cites Anomaly detection in fundus images by self-adaptive decomposition via local and color based sparse coding.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection in fundus images by self-adaptive decomposition via local and color based sparse coding

Reference 28

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Observation 8d5d5192-b4ff-464c-a884-8196df145d9b · outbound

This paper cites Unsupervised deep learning approach for structural anomaly detection using probabilistic features.

An aerial color image anomaly dataset for search missions in complex forested terrain Unsupervised deep learning approach for structural anomaly detection using probabilistic features

Reference 29

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Observation dc6d8d18-5f34-41f8-a0ac-ee88a2a407f4 · outbound

This paper cites Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localiza- tion.

An aerial color image anomaly dataset for search missions in complex forested terrain Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localiza- tion

Reference 30

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Observation f46a6749-e019-47a3-a0af-7c107d949980 · outbound

This paper cites Anomaly detection in thermal images using deep neural networks.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection in thermal images using deep neural networks

Reference 31

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Observation e7639dea-6f59-4120-850e-b1a104ff5b14 · outbound

This paper cites Thermal anomaly detection based on saliency analysis from multimodal imaging sources.

An aerial color image anomaly dataset for search missions in complex forested terrain Thermal anomaly detection based on saliency analysis from multimodal imaging sources

Reference 32

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Observation 22a66ab8-2a88-4dc6-b6f1-74d2236bdfd3 · outbound

This paper cites Model-based thermal anomaly detection in cloud datacenters using thermal imaging.

An aerial color image anomaly dataset for search missions in complex forested terrain Model-based thermal anomaly detection in cloud datacenters using thermal imaging

Reference 33

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Observation 76ebbcf6-b089-4b84-ac60-820ebd927ff2 · outbound

This paper cites UA V-based thermal anomaly detection for distributed heating networks.

An aerial color image anomaly dataset for search missions in complex forested terrain UA V-based thermal anomaly detection for distributed heating networks

Reference 34

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Observation e978011a-0520-48d5-873b-ae1e9dbed892 · outbound

This paper cites Towards detection of thermal anomalies in large urban areas using simulation.

An aerial color image anomaly dataset for search missions in complex forested terrain Towards detection of thermal anomalies in large urban areas using simulation

Reference 35

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Observation 10ba3a11-25e3-4457-b92e-43b1abc1df9e · outbound

This paper cites Seasons in drift: A long-term thermal imaging dataset for studying concept drift.

An aerial color image anomaly dataset for search missions in complex forested terrain Seasons in drift: A long-term thermal imaging dataset for studying concept drift

Reference 36

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Observation 4d63b7ad-df75-4c81-a861-7fc9e9c55e20 · outbound

This paper cites Anomaly Detection for Hotspot Identification in Landsat Images.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly Detection for Hotspot Identification in Landsat Images

Reference 37

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Observation 41b41804-2422-4e11-8c24-3dbebaeada24 · outbound

This paper cites Detecting district heating leaks in thermal imagery: Comparison of anomaly detection methods.

An aerial color image anomaly dataset for search missions in complex forested terrain Detecting district heating leaks in thermal imagery: Comparison of anomaly detection methods

Reference 38

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Observation c87aa4d5-6838-45fa-b45a-f8b648e09b8d · outbound

This paper cites Hyperspectral anomaly detection with multiscale attribute and edge-preserving filters.

An aerial color image anomaly dataset for search missions in complex forested terrain Hyperspectral anomaly detection with multiscale attribute and edge-preserving filters

Reference 39

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Observation ef711203-a3cd-47b2-896f-18d5b72c0a39 · outbound

This paper cites Data model LUT-based change and anomaly detection for real-time multispectral image characterization.

An aerial color image anomaly dataset for search missions in complex forested terrain Data model LUT-based change and anomaly detection for real-time multispectral image characterization

Reference 40

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Observation e16e3670-0055-480d-bdcb-7b2a024ee932 · outbound

This paper cites Anomaly detection and classification in multispectral time series based on hidden Markov models.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection and classification in multispectral time series based on hidden Markov models

Reference 41

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Observation ce78d328-2e2c-4bf9-9717-89694f9bb4c3 · outbound

This paper cites Temporal anomaly detection in multispectral imagery.

An aerial color image anomaly dataset for search missions in complex forested terrain Temporal anomaly detection in multispectral imagery

Reference 42

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Observation 38806176-4afa-4299-a799-7b947522fcb8 · outbound

This paper cites Hyperspectral anomaly detection: A survey.

An aerial color image anomaly dataset for search missions in complex forested terrain Hyperspectral anomaly detection: A survey

Reference 43

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Observation 176f4f9a-9071-4efc-be39-dd5c071c6fb5 · outbound

This paper cites Hyperspectral anomaly detection based on variational background inference and generative adversarial network.

An aerial color image anomaly dataset for search missions in complex forested terrain Hyperspectral anomaly detection based on variational background inference and generative adversarial network

Reference 44

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Observation 3532f17d-c5b8-4891-91a1-22631e0ca743 · outbound

This paper cites Hyperspectral anomaly detection via low-rank and sparse decomposition with cluster subspace accumulation.

An aerial color image anomaly dataset for search missions in complex forested terrain Hyperspectral anomaly detection via low-rank and sparse decomposition with cluster subspace accumulation

Reference 45

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Observation 9b928ca4-e79c-4ade-afda-8355525f6848 · outbound

This paper cites Hyperspectral anomaly detection: a performance comparison of existing techniques.

An aerial color image anomaly dataset for search missions in complex forested terrain Hyperspectral anomaly detection: a performance comparison of existing techniques

Reference 46

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Observation fc500539-726f-4d3c-813c-a53bfd1d914a · outbound

This paper cites Anomaly detection in hyperspectral images based on low-rank and sparse representation.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection in hyperspectral images based on low-rank and sparse representation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.320624Z

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Observation 0c2008a4-3bc1-4563-bfc3-043b36c296ab · outbound

This paper cites Spectral–spatial feature extraction for hyperspectral anomaly detection.

An aerial color image anomaly dataset for search missions in complex forested terrain Spectral–spatial feature extraction for hyperspectral anomaly detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.306585Z

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Observation df029763-6342-4f6e-92d1-ab9dd38111cc · outbound

This paper cites Deep industrial image anomaly detection: A survey.

An aerial color image anomaly dataset for search missions in complex forested terrain Deep industrial image anomaly detection: A survey

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.292021Z

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Observation 173bb966-c0f5-4241-bd54-604bbb8b4013 · outbound

This paper cites Hyperspectral anomaly detection using deep learning: A review.

An aerial color image anomaly dataset for search missions in complex forested terrain Hyperspectral anomaly detection using deep learning: A review

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.278564Z

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Observation 9ff4a296-80e5-4397-ae32-6c5baf2ca09e · outbound

This paper cites A deep learning based technique for anomaly detection in surveillance videos.

An aerial color image anomaly dataset for search missions in complex forested terrain A deep learning based technique for anomaly detection in surveillance videos

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.264685Z

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Observation 731af265-f375-49de-99e8-1dffd715266c · outbound

This paper cites DeepAnT: A deep learning approach for unsupervised anomaly detection in time series.

An aerial color image anomaly dataset for search missions in complex forested terrain DeepAnT: A deep learning approach for unsupervised anomaly detection in time series

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.250986Z

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Observation b3e61cea-6546-44ac-aad3-ea21e78fbbb8 · outbound

This paper cites Deep learning for anomaly detection.

An aerial color image anomaly dataset for search missions in complex forested terrain Deep learning for anomaly detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.236700Z

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Observation 3fc0ad3a-c92d-475f-ba1d-534b3f6468b2 · outbound

This paper cites A model-based anomaly detection approach for analyzing streaming aircraft engine measurement data.

An aerial color image anomaly dataset for search missions in complex forested terrain A model-based anomaly detection approach for analyzing streaming aircraft engine measurement data

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.223143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8561bb33-d23a-4009-a522-600f6d5d871e · outbound

This paper cites Model based anomaly detection in high dimensional DATA.

An aerial color image anomaly dataset for search missions in complex forested terrain Model based anomaly detection in high dimensional DATA

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.210200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fa9767cd-5138-41ef-ac3c-da89a0dc210e · outbound

This paper cites Model-Based Anomaly Detection Approaches.

An aerial color image anomaly dataset for search missions in complex forested terrain Model-Based Anomaly Detection Approaches

Reference 56

Resolution: verified exact; doi, observed 2026-08-06T15:35:19.571410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 55f364fa-8470-47ee-97c4-a94f855ad16e · outbound

This paper cites GAN-based anomaly detection: A review.

An aerial color image anomaly dataset for search missions in complex forested terrain GAN-based anomaly detection: A review

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.196680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f56b75ee-6642-4823-819e-bee61c7dd534 · outbound

This paper cites MVTec AD–A comprehensive real-world dataset for unsupervised anomaly detection.

An aerial color image anomaly dataset for search missions in complex forested terrain MVTec AD–A comprehensive real-world dataset for unsupervised anomaly detection

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.183420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4219705e-bb79-4c48-a31a-9be4a9241563 · outbound

This paper cites The MVTec anomaly detection dataset: a comprehensive real-world dataset for unsupervised anomaly detection.

An aerial color image anomaly dataset for search missions in complex forested terrain The MVTec anomaly detection dataset: a comprehensive real-world dataset for unsupervised anomaly detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.170715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1452dd63-691f-42e9-b89c-83f9db8c736d · outbound

This paper cites The mvtec ad 2 dataset: Advanced scenarios for unsupervised anomaly detection.

An aerial color image anomaly dataset for search missions in complex forested terrain The mvtec ad 2 dataset: Advanced scenarios for unsupervised anomaly detection

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.383210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f7fa82-3d07-48ae-8e73-02e667e3a885 · outbound

This paper cites The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization.

An aerial color image anomaly dataset for search missions in complex forested terrain The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.386887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 859b299d-2d7c-42b5-9096-1b8f5b42bd34 · outbound

This paper cites VT-ADL: A vision transformer network for image anomaly detection and localization.

An aerial color image anomaly dataset for search missions in complex forested terrain VT-ADL: A vision transformer network for image anomaly detection and localization

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.157246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ddd53da5-2f60-4fed-a673-305c8b6ee836 · outbound

This paper cites Anomaly detection in crowd scene.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection in crowd scene

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.143809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4512f27-d310-4d3d-9e6c-d8e2af27b7b4 · outbound

This paper cites Abnormal event detection at 150 fps in matlab.

An aerial color image anomaly dataset for search missions in complex forested terrain Abnormal event detection at 150 fps in matlab

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.130235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc4cafd4-1dc8-4e93-a9d3-d7b281b01eae · outbound

This paper cites A day on campus-an anomaly detection dataset for events in a single camera.

An aerial color image anomaly dataset for search missions in complex forested terrain A day on campus-an anomaly detection dataset for events in a single camera

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.117264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e918d09d-87fd-4cf7-8cd9-5a39347547c2 · outbound

This paper cites Future frame prediction for anomaly detection–a new baseline.

An aerial color image anomaly dataset for search missions in complex forested terrain Future frame prediction for anomaly detection–a new baseline

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.104543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation daa72160-1be4-4c9b-8d38-6185fb40f57e · outbound

This paper cites Anomaly detection in aerial videos with transformers.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomaly detection in aerial videos with transformers

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.092350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c6510c1-1999-4391-9ca7-8f1025de2860 · outbound

This paper cites Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos.

An aerial color image anomaly dataset for search missions in complex forested terrain Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:35:19.636446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c994e6b-fb0d-4165-b73d-5a0dce14e178 · outbound

This paper cites UIT-ADrone: A novel drone dataset for traffic anomaly detection.

An aerial color image anomaly dataset for search missions in complex forested terrain UIT-ADrone: A novel drone dataset for traffic anomaly detection

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.079317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ed19173-84e1-47eb-a5f5-1cd14bd51de1 · outbound

This paper cites Self-supervised masked convolutional transformer block for anomaly detection.

An aerial color image anomaly dataset for search missions in complex forested terrain Self-supervised masked convolutional transformer block for anomaly detection

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.067016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e6b9ace-c3c4-4ffa-ad65-fc2ebde55db3 · outbound

This paper cites SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.

An aerial color image anomaly dataset for search missions in complex forested terrain SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.426084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b014dbbd-f6b2-429a-8208-057492f94f3d · outbound

This paper cites Anomalous motion detection on highway using deep learning.

An aerial color image anomaly dataset for search missions in complex forested terrain Anomalous motion detection on highway using deep learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.054343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec445bc1-01d8-419d-8b77-c7ad0837db63 · outbound

This paper cites Fishyscapes: A benchmark for safe semantic segmentation in autonomous driving.

An aerial color image anomaly dataset for search missions in complex forested terrain Fishyscapes: A benchmark for safe semantic segmentation in autonomous driving

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.042405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0aa4329e-bbb1-4cac-a364-02008738859e · outbound

This paper cites Lost and found: detecting small road hazards for self-driving vehicles.

An aerial color image anomaly dataset for search missions in complex forested terrain Lost and found: detecting small road hazards for self-driving vehicles

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.030155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39efad02-a102-4c82-89fe-36d1829628c6 · outbound

This paper cites Spot-the-difference self-supervised pre-training for anomaly detection and segmentation.

An aerial color image anomaly dataset for search missions in complex forested terrain Spot-the-difference self-supervised pre-training for anomaly detection and segmentation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.017558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f94ed6ad-8349-42d3-8d06-29a51847fca9 · outbound

This paper cites Street scene: A new dataset and evaluation protocol for video anomaly detection.

An aerial color image anomaly dataset for search missions in complex forested terrain Street scene: A new dataset and evaluation protocol for video anomaly detection

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:20.004930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a5fd183a-5cc1-4d5f-a93e-57e5f41e9837 · outbound

This paper cites Spectral and spatial complexity-based hyperspectral unmixing.

An aerial color image anomaly dataset for search missions in complex forested terrain Spectral and spatial complexity-based hyperspectral unmixing

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.992446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c261b5b9-76c0-43a8-99c9-af9054aef2e0 · outbound

This paper cites A robust nonlinear hyperspectral anomaly detection approach.

An aerial color image anomaly dataset for search missions in complex forested terrain A robust nonlinear hyperspectral anomaly detection approach

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.979810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 058feeae-20a4-444a-a8a4-fa67364473eb · outbound

This paper cites Using endmembers as a coordinate system in hyperspectral imagery.

An aerial color image anomaly dataset for search missions in complex forested terrain Using endmembers as a coordinate system in hyperspectral imagery

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.966951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae91ae79-62ec-484d-a927-04021eb7f552 · outbound

This paper cites MUUFL Gulfport hyperspectral and LiDAR airborne data set.

An aerial color image anomaly dataset for search missions in complex forested terrain MUUFL Gulfport hyperspectral and LiDAR airborne data set

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.954822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9613c354-c6f6-4ced-b434-74e525933bed · outbound

This paper cites Hyperspectral airborne “Viareggio 2013 Trial.

An aerial color image anomaly dataset for search missions in complex forested terrain Hyperspectral airborne “Viareggio 2013 Trial

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.942993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e135a681-ccb7-4f21-aa7a-d06901825ec3 · outbound

This paper cites Search and rescue with airborne optical sectioning.

An aerial color image anomaly dataset for search missions in complex forested terrain Search and rescue with airborne optical sectioning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.930719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 482d9583-8499-4a9b-b042-a9e45b9a3a25 · outbound

This paper cites An autonomous drone for search and rescue in forests using airborne optical sectioning.

An aerial color image anomaly dataset for search missions in complex forested terrain An autonomous drone for search and rescue in forests using airborne optical sectioning

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.918316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed839bc1-bf96-49f2-9652-1b80ed1d88e4 · outbound

This paper cites An infrared dataset for partially occluded person detection in complex environment for search and rescue.

An aerial color image anomaly dataset for search missions in complex forested terrain An infrared dataset for partially occluded person detection in complex environment for search and rescue

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.905586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 778cecd4-243f-49d0-b84f-a6dfd2ddac61 · outbound

This paper cites BIRDSAI: A dataset for detection and tracking in aerial thermal infrared videos.

An aerial color image anomaly dataset for search missions in complex forested terrain BIRDSAI: A dataset for detection and tracking in aerial thermal infrared videos

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.893240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8a6ade1-9efe-4245-a24d-d013435a1f11 · outbound

This paper cites SaRNet: A dataset for deep learning assisted search and rescue with satellite imagery.

An aerial color image anomaly dataset for search missions in complex forested terrain SaRNet: A dataset for deep learning assisted search and rescue with satellite imagery

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.880515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1726c449-c824-429d-8106-7329a369cb91 · outbound

This paper cites Automatic person detection in search and rescue operations using deep CNN detectors.

An aerial color image anomaly dataset for search missions in complex forested terrain Automatic person detection in search and rescue operations using deep CNN detectors

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.868311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dcf93170-7f04-48d6-872f-5f2d695a83e7 · outbound

This paper cites Deep learning approach in aerial imagery for supporting land search and rescue missions.

An aerial color image anomaly dataset for search missions in complex forested terrain Deep learning approach in aerial imagery for supporting land search and rescue missions

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.855436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ed8bea5-aa0a-45ef-9417-a98acde78ddb · outbound

This paper cites Wisard: A labeled visual and thermal image dataset for wilderness search and rescue.

An aerial color image anomaly dataset for search missions in complex forested terrain Wisard: A labeled visual and thermal image dataset for wilderness search and rescue

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.842260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e4f2ae3d-cbff-4e2d-9813-e569f5e4baf4 · outbound

This paper cites NOMAD: A Natural, Occluded, Multi-scale Aerial Dataset, for Emergency Response Scenarios.

An aerial color image anomaly dataset for search missions in complex forested terrain NOMAD: A Natural, Occluded, Multi-scale Aerial Dataset, for Emergency Response Scenarios

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.829167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aec0cf56-42e9-41a4-bcb3-c806c8801916 · outbound

This paper cites Aerial Person Detection for Search and Rescue: Survey and Benchmarks.

An aerial color image anomaly dataset for search missions in complex forested terrain Aerial Person Detection for Search and Rescue: Survey and Benchmarks

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.815463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10b3b345-2e15-4928-a423-f2bb1e7c8480 · outbound

This paper cites Drone-based RGBT tiny person detection.

An aerial color image anomaly dataset for search missions in complex forested terrain Drone-based RGBT tiny person detection

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.803117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8cf8da6-e44d-4fbc-8cc9-83c65d7f38d3 · outbound

This paper cites Manipal-UA V person detection dataset: A step towards benchmarking dataset and algorithms for small object detection.

An aerial color image anomaly dataset for search missions in complex forested terrain Manipal-UA V person detection dataset: A step towards benchmarking dataset and algorithms for small object detection

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.789765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6210bdd-a8b3-4e2a-98e1-da19e767ebb9 · outbound

This paper cites Capabilities and Applications of MACS Aerial Camera Systems for Environmental Research.

An aerial color image anomaly dataset for search missions in complex forested terrain Capabilities and Applications of MACS Aerial Camera Systems for Environmental Research

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.774669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 675ca845-29fb-4c55-9538-0452d621b60b · outbound

This paper cites Demosaicing images from colour cameras for digital image correlation.

An aerial color image anomaly dataset for search missions in complex forested terrain Demosaicing images from colour cameras for digital image correlation

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.761756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e0d867fe-bffe-4e03-af5a-382079614eb3 · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

An aerial color image anomaly dataset for search missions in complex forested terrain YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.533890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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