Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection | Paper Citation Record

Observation c7b8514b-b90c-40d8-89e4-6e2f3daf5b0a · outbound

This paper cites Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models,

Reference 1

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Observation eccd3bae-a4aa-4c8e-9c60-aa5f7e209374 · outbound

This paper cites Memorizing normality to detect anomaly: Memory- augmented deep autoencoder for unsupervised anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Memorizing normality to detect anomaly: Memory- augmented deep autoencoder for unsupervised anomaly detection,

Reference 2

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Observation 2091a78e-b562-4171-aa75-36195b647fc1 · outbound

This paper cites Learning memory-guided normality for anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Learning memory-guided normality for anomaly detection,

Reference 3

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Observation ad017a9e-4cdd-48a6-8039-906de743fa36 · outbound

This paper cites Hierarchical semantic contrast for scene-aware video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Hierarchical semantic contrast for scene-aware video anomaly detection,

Reference 4

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Observation 2f340de9-3e66-4f9a-bc88-fc63fd36890f · outbound

This paper cites Video anomaly detection based on spatio-temporal relationships among objects,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Video anomaly detection based on spatio-temporal relationships among objects,

Reference 5

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Observation 9b10286e-f938-4cc4-9cd6-3b040aef0046 · outbound

This paper cites Towards interpretable video anomaly detec- tion,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Towards interpretable video anomaly detec- tion,

Reference 6

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Observation 8058917d-d294-488c-ac3c-65e6957b825f · outbound

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

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Future frame prediction for anomaly detection–a new baseline,

Reference 7

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Observation 7840b40e-1ed9-45f6-9f71-e1222abbc71a · outbound

This paper cites Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention,

Reference 8

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Observation f68ef23e-bcbb-432d-b6bc-91562708f966 · outbound

This paper cites Clustering driven deep au- toencoder for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Clustering driven deep au- toencoder for video anomaly detection,

Reference 9

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Observation 1764146e-a100-464d-9ccb-c961c8f8d5fc · outbound

This paper cites A cascade reconstruction model with generalization ability evaluation for anomaly detection in videos,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection A cascade reconstruction model with generalization ability evaluation for anomaly detection in videos,

Reference 10

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Observation 311e788b-bc54-49bf-b17c-c45fb6afeb9a · outbound

This paper cites Dast-net: Dense visual attention augmented spatio-temporal network for unsupervised video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Dast-net: Dense visual attention augmented spatio-temporal network for unsupervised video anomaly detection,

Reference 11

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Observation 92b50699-fd78-40de-bbf3-8a60163c2106 · outbound

This paper cites Pseudobound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Pseudobound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies,

Reference 12

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Observation c6094777-7a36-4f7f-acff-c8f2acb0f70d · outbound

This paper cites Appearance-motion memory consistency network for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Appearance-motion memory consistency network for video anomaly detection,

Reference 13

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Observation f25c3c57-2d0f-4a8f-827c-94e255519659 · outbound

This paper cites Spatiotemporal consistency-enhanced network for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Spatiotemporal consistency-enhanced network for video anomaly detection,

Reference 14

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Observation 3a711a83-a34a-493d-bbb9-6ec2e61e8377 · outbound

This paper cites Rethinking prediction- based video anomaly detection from local–global normality perspective,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Rethinking prediction- based video anomaly detection from local–global normality perspective,

Reference 15

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Observation 68ad0b6c-0f1f-4d2c-a20e-28acde2c9ad1 · outbound

This paper cites Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning,

Reference 16

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Observation 30d800fb-70cf-4050-aceb-9cd585e46a01 · outbound

This paper cites Moba: Motion memory-augmented deblurring autoencoder for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Moba: Motion memory-augmented deblurring autoencoder for video anomaly detection,

Reference 17

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Observation 6f7fe96b-2a3a-4c3a-9dab-8defa34fdbee · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection U-net: Convolutional networks for biomedical image segmentation,

Reference 18

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Observation 83e5b794-1d8c-46db-899f-b2e330113e88 · outbound

This paper cites Generative adversarial nets,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Generative adversarial nets,

Reference 19

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Observation 756561d5-6858-4c5e-8a59-bde0ca2537b1 · outbound

This paper cites Self-supervised attentive generative adversarial networks for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Self-supervised attentive generative adversarial networks for video anomaly detection,

Reference 20

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Observation ba2165cb-f1f4-4568-b2f9-ca5b27c6b4e6 · outbound

This paper cites Video event restoration based on keyframes for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Video event restoration based on keyframes for video anomaly detection,

Reference 21

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Observation e9ae8298-1f93-4020-a0a1-be94c9c57113 · outbound

This paper cites Object-guided and motion-refined atten- tion network for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Object-guided and motion-refined atten- tion network for video anomaly detection,

Reference 22

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Observation fd1126e5-155e-4312-83e3-824a29c9d81e · outbound

This paper cites Anomaly detection with bidirectional consistency in videos,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Anomaly detection with bidirectional consistency in videos,

Reference 23

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Observation 32d4e3eb-b861-4a47-a7e4-b14fb9983e47 · outbound

This paper cites Multi-encoder towards effective anomaly detection in videos,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Multi-encoder towards effective anomaly detection in videos,

Reference 24

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Observation df89ad11-daa2-4d82-8477-2fad04d1f380 · outbound

This paper cites Learning regularity in skeleton trajectories for anomaly detection in videos,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Learning regularity in skeleton trajectories for anomaly detection in videos,

Reference 25

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Observation d3e7d463-f9ea-45e9-b7d8-8e2baaaeb955 · outbound

This paper cites Making reconstruction-based method great again for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Making reconstruction-based method great again for video anomaly detection,

Reference 26

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Observation 11c4beb6-77d2-48e0-ab17-697121319fbd · outbound

This paper cites Anomaly detection in video se- quence with appearance-motion correspondence,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Anomaly detection in video se- quence with appearance-motion correspondence,

Reference 27

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Observation 2ccaecce-9c3a-4608-9c91-4f8c923f879e · outbound

This paper cites Abnormal event detection in videos using generative adversarial nets,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Abnormal event detection in videos using generative adversarial nets,

Reference 28

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Observation 52a37338-f0ce-48fc-b52d-aba1db7ba5ea · outbound

This paper cites Nm-gan: Noise- modulated generative adversarial network for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Nm-gan: Noise- modulated generative adversarial network for video anomaly detection,

Reference 29

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Observation 2e27bffa-70e6-495c-8412-b090952af91e · outbound

This paper cites Detecting abnormality with separated foreground and background: Mutual generative adversarial networks for video abnormal event detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Detecting abnormality with separated foreground and background: Mutual generative adversarial networks for video abnormal event detection,

Reference 30

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Observation 1d251ca9-adb9-44de-8a80-aed676576fa5 · outbound

This paper cites Improving video anomaly detection performance by mining useful data from unseen video frames,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Improving video anomaly detection performance by mining useful data from unseen video frames,

Reference 31

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Observation 1d45454c-0dad-4a87-b74b-d1e02dc46150 · outbound

This paper cites Future frame prediction network for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Future frame prediction network for video anomaly detection,

Reference 32

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Observation a4b5ea05-e7a7-45fc-a161-d60389b1a4fc · outbound

This paper cites A video anomaly detection framework based on appearance-motion semantics representation consistency,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection A video anomaly detection framework based on appearance-motion semantics representation consistency,

Reference 33

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Observation efb316f5-fa7c-4fab-bd25-fa4e9ce550b0 · outbound

This paper cites Bidirectional spatio- temporal feature learning with multiscale evaluation for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Bidirectional spatio- temporal feature learning with multiscale evaluation for video anomaly detection,

Reference 34

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Observation 5fa3e1d1-6b51-41ec-b999-8fe327d14439 · outbound

This paper cites Bman: Bidirectional multi-scale aggregation networks for abnormal event detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Bman: Bidirectional multi-scale aggregation networks for abnormal event detection,

Reference 35

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Observation 564167c5-9af3-4135-909a-2d48a5fdc34e · outbound

This paper cites Lightning fast video anomaly detection via multi-scale adversarial distillation,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Lightning fast video anomaly detection via multi-scale adversarial distillation,

Reference 36

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Observation a8b3ecce-1a43-4c7f-af9f-97e12da08153 · outbound

This paper cites Prior knowledge guided network for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Prior knowledge guided network for video anomaly detection,

Reference 37

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Observation 9872f552-e499-4e0d-b166-d6fc2b949bbf · outbound

This paper cites Vadmamba: Exploring state space models for fast video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Vadmamba: Exploring state space models for fast video anomaly detection,

Reference 38

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Observation 62f552bd-66e9-403d-af85-493a44296a90 · outbound

This paper cites Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Reference 39

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Observation cbfc87fd-9439-4243-b198-8aab8c9229c3 · outbound

This paper cites Gt-had: Gated transformer for hyperspectral anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Gt-had: Gated transformer for hyperspectral anomaly detection,

Reference 40

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Observation 8508910e-db6b-48df-8556-adb2c6ee3c8d · outbound

This paper cites Dual-branch learning with prior information for surface anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Dual-branch learning with prior information for surface anomaly detection,

Reference 41

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Observation 0ab566f7-7cc0-4b6d-8da9-8dbf3ec35b21 · outbound

This paper cites Attention-based residual autoencoder for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Attention-based residual autoencoder for video anomaly detection,

Reference 42

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Observation b23638ea-181e-4d6a-ad77-96cd1ad81f62 · outbound

This paper cites Anomaly de- tection in crowded scenes,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Anomaly de- tection in crowded scenes,

Reference 43

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Observation 3cb71505-f0eb-4021-9d56-cffe3cced2cd · outbound

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

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Abnormal event detection at 150 fps in matlab,

Reference 44

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Observation 9a81e4e2-689f-4f8f-9cb0-230f2b1ca850 · outbound

This paper cites A revisit of sparse coding based anomaly detection in stacked rnn framework,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection A revisit of sparse coding based anomaly detection in stacked rnn framework,

Reference 45

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Observation aab4efff-6562-41d1-a59c-a8c383e1647c · outbound

This paper cites Dynamic local aggregation network with adaptive clusterer for anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Dynamic local aggregation network with adaptive clusterer for anomaly detection,

Reference 46

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Observation 1eeaa289-e5bb-489f-b1b5-613801b599e2 · outbound

This paper cites Hybrid attention and motion constraint for anomaly detection in crowded scenes,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Hybrid attention and motion constraint for anomaly detection in crowded scenes,

Reference 47

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Observation 7a087986-9fc0-461b-aa7a-2e49f8a31456 · outbound

This paper cites Spatial- temporal graph convolutional network boosted flow-frame prediction for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Spatial- temporal graph convolutional network boosted flow-frame prediction for video anomaly detection,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T08:07:43.713730Z

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Observation 47d3a77a-bede-466b-a6bf-bbd23fa27704 · outbound

This paper cites Memorizing normality to detect anomaly: Memory-augmented deep autoencoder video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Memorizing normality to detect anomaly: Memory-augmented deep autoencoder video anomaly detection,

Reference 49

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Observation 353298e3-6d82-487d-bfa4-35e40a4a3435 · outbound

This paper cites Long short-term dynamic proto- type alignment learning for video anomaly detection,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Long short-term dynamic proto- type alignment learning for video anomaly detection,

Reference 50

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Observation 6ea20166-2dd7-43c2-8735-ec11c6c93228 · outbound

This paper cites Multi-branch gan-based abnormal events detection via context learning in surveillance videos,.

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection Multi-branch gan-based abnormal events detection via context learning in surveillance videos,

Reference 51

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