DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection | Paper Citation Record

Observation 19022b08-0be5-4c65-ae3e-f7f0aaa03cf5 · outbound

This paper cites Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:30:15.513716Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f7a703b2-4999-47b6-bb67-a46314ab331d · outbound

This paper cites Smarthome-bench:Acomprehensivebench- mark for video anomaly detection in smart homes using multi-modal large language models.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Smarthome-bench:Acomprehensivebench- mark for video anomaly detection in smart homes using multi-modal large language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.556540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e56c5073-92e5-45c7-99f2-c4ad0d889688 · outbound

This paper cites Track any anomalous object: A granular video anomaly detection pipeline.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Track any anomalous object: A granular video anomaly detection pipeline

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.531520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74f15bb9-7308-4b7a-9b31-cf30d382486b · outbound

This paper cites Memoryout: Learning principal features via multimodal sparse filtering network for semi-supervised video anomaly detection.arXiv preprint arXiv:2506.02535, 2025.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Memoryout: Learning principal features via multimodal sparse filtering network for semi-supervised video anomaly detection.arXiv preprint arXiv:2506.02535, 2025

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-06T13:30:15.476360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41a9365b-530c-4d40-8149-fb6c6556333c · outbound

This paper cites VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:09.739341Z

Source-reported events for the cited work

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Observation 6857c0f6-5f78-4966-9f29-2684b9ee4c1b · outbound

This paper cites Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:09.804400Z

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Observation 766eacaa-cfde-4ca4-a6ae-def23abaf223 · outbound

This paper cites Weakly- supervised video anomaly detection with snippet anomalous atten- tion.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Weakly- supervised video anomaly detection with snippet anomalous atten- tion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.514370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2bbf62bb-4a1a-4b0e-a9cb-484a5cbdb10c · outbound

This paper cites Mist: Multiple instance self-training framework for video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Mist: Multiple instance self-training framework for video anomaly detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.494718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 161f9330-d6b0-4d63-81c4-f95e1743cb76 · outbound

This paper cites Self-training multi-sequence learningwithtransformerforweaklysupervisedvideoanomalydetec- tion.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Self-training multi-sequence learningwithtransformerforweaklysupervisedvideoanomalydetec- tion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.473800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0e158f59-46d7-4903-bde9-ca75d2ecc377 · outbound

This paper cites Weakly-supervised video anomaly detection with robust temporal feature magnitude learning.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Weakly-supervised video anomaly detection with robust temporal feature magnitude learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.445753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c8aa979-c944-493b-903e-7e52045645c3 · outbound

This paper cites Self-supervised sparse representation for video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Self-supervised sparse representation for video anomaly detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.427778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81448f3e-3c58-48b2-9b86-e7436144bd7f · outbound

This paper cites Claws: Clustering assisted weakly supervised learn- ing with normalcy suppression for anomalous event detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Claws: Clustering assisted weakly supervised learn- ing with normalcy suppression for anomalous event detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.410325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9ba0da7-7743-4ca8-82f9-d51abcf1f6e6 · outbound

This paper cites Dual memory units with uncertainty regulation for weakly supervised video anomaly detec- tion.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Dual memory units with uncertainty regulation for weakly supervised video anomaly detec- tion

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.394140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3ad02a2-4d2a-41ba-b946-69aeb4fc0dec · outbound

This paper cites Sup- port vector machines for multiple-instance learning.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Sup- port vector machines for multiple-instance learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.374149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0803d0d-8b00-482f-b861-3fe852e1b184 · outbound

This paper cites Multiple instance learning for soft bags via top instances.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Multiple instance learning for soft bags via top instances

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.354155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d88a2d1-8bea-47ba-a239-858c39ecb796 · outbound

This paper cites an unresolved cited work.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:30:16.334700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97748d3b-a4d1-438c-90c8-ce20d9cfd8f1 · outbound

This paper cites Enhancing aerial object detection with selective frequency interaction network.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Enhancing aerial object detection with selective frequency interaction network

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.317326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 779b053a-8db2-43c0-ba04-1d6502f6b8f2 · outbound

This paper cites Lr- fpn: Enhancing remote sensing object detection with location refined feature pyramid network.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Lr- fpn: Enhancing remote sensing object detection with location refined feature pyramid network

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.297048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 704c6d37-0565-4db0-a572-56b09fbcca13 · outbound

This paper cites Learning spatiotemporal features with 3d convolu- tionalnetworks.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Learning spatiotemporal features with 3d convolu- tionalnetworks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.281291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70478574-6324-4e19-980e-52ff2417624e · outbound

This paper cites Real-world anomaly detection in surveillance videos.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Real-world anomaly detection in surveillance videos

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.257771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b6c7561-7a18-4846-a0c5-da9a324cf3e8 · outbound

This paper cites Quovadis,actionrecognition? a new model and the kinetics dataset.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Quovadis,actionrecognition? a new model and the kinetics dataset

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.239464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09d703d0-ebfa-40b4-a41e-0e60b7ccadf6 · outbound

This paper cites Not only look, but also listen: Learning multimodal violence detection under weak supervision.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Not only look, but also listen: Learning multimodal violence detection under weak supervision

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:11.433996Z

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Observation 70557653-b4c3-4d6d-ad20-a97e670cd957 · outbound

This paper cites Pedestrian- specific bipartite-aware similarity learning for text-based person re- trieval.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Pedestrian- specific bipartite-aware similarity learning for text-based person re- trieval

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.202014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5afb4495-6515-4f53-acf6-cc1c2048a6e0 · outbound

This paper cites Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:11.623007Z

Source-reported events for the cited work

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Observation a171a873-e4c2-412e-897f-1a968fa779eb · outbound

This paper cites Git: Graph interactive transformer for vehicle re-identification.IEEE Transactions on Image Processing, 2023.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Git: Graph interactive transformer for vehicle re-identification.IEEE Transactions on Image Processing, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.179136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce73b546-ed2b-491c-af87-c8cfc4f4ca55 · outbound

This paper cites Con- volutional neural networks on graphs with fast localized spectral filtering.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Con- volutional neural networks on graphs with fast localized spectral filtering

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.161412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8af50af-7261-4ad8-9e9b-b7a283a45d6a · outbound

This paper cites Imagdressing-v1:Customizablevirtualdressing.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Imagdressing-v1:Customizablevirtualdressing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.133484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ac7b231-c123-4763-8e1d-9ab8d0249ffe · outbound

This paper cites Advancingpose-guidedimagesynthesiswithprogressiveconditional diffusionmodels.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Advancingpose-guidedimagesynthesiswithprogressiveconditional diffusionmodels

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.117700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f72cf992-ef0e-4cf8-b916-b15e6dfe0869 · outbound

This paper cites At- tention is all you need.Advances in neural information processing systems, 30, 2017.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection At- tention is all you need.Advances in neural information processing systems, 30, 2017

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:12.175017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961d5c91-df0b-4a5f-9a48-17ee2e4a5b49 · outbound

This paper cites Convolutional transformer based dualdiscriminatorgenerativeadversarialnetworksforvideoanomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Convolutional transformer based dualdiscriminatorgenerativeadversarialnetworksforvideoanomaly detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.088953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7df3a29a-40c7-495f-929a-6d4c5c2a491c · outbound

This paper cites Anomalynet: An anomaly detection network for video surveillance.IEEE Transactions on Information Forensics and Security, 14(10):2537–2550, 2019.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Anomalynet: An anomaly detection network for video surveillance.IEEE Transactions on Information Forensics and Security, 14(10):2537–2550, 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.073411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25db1f31-3dd0-4790-8915-5bfb6eb9bbbe · outbound

This paper cites A variational bayesian approach to robust sensor fusion based on student-t distribution.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection A variational bayesian approach to robust sensor fusion based on student-t distribution

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.057887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf898c20-6bde-4316-ab65-62b317a109ca · outbound

This paper cites Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:12.666869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03de441f-6f26-426e-a6a4-f229ce4b9eaf · outbound

This paper cites Cross-modal fusion and attention mechanism for weakly super- vised video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Cross-modal fusion and attention mechanism for weakly super- vised video anomaly detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.041832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a4c4d576-ee6d-4ec1-8a2c-d8565d9c7935 · outbound

This paper cites Audio-visual collaborative learning for weakly supervised video anomaly detection.IEEE Transactions on Multimedia, 2025.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Audio-visual collaborative learning for weakly supervised video anomaly detection.IEEE Transactions on Multimedia, 2025

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.024739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bdc3f533-ac99-42ca-85ba-ecf987fc4d76 · outbound

This paper cites Multimodal and multiscale feature fusion for weakly supervised video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Multimodal and multiscale feature fusion for weakly supervised video anomaly detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:16.009013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b87b44b5-bd97-45de-9762-478f1f31e2cd · outbound

This paper cites Vadclip: Adapting vision- language models for weakly supervised video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Vadclip: Adapting vision- language models for weakly supervised video anomaly detection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.993533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8637efa2-b677-49bb-8e73-71ca7f3a39db · outbound

This paper cites InProceedingsoftheIEEEconferenceoncomputervision and pattern recognition, pages 733–742, 2016.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection InProceedingsoftheIEEEconferenceoncomputervision and pattern recognition, pages 733–742, 2016

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.977401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07b52735-31e1-415b-8fa2-23f562c0cc2c · outbound

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

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection A revisit of sparse coding based anomaly detection in stacked rnn framework

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.962159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 751ea0b9-3cd6-4dcc-9329-c086ecb0d355 · outbound

This paper cites InProceedings of the IEEE conference on computer vision and pattern recognition, pages 6536–6545, 2018.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection InProceedings of the IEEE conference on computer vision and pattern recognition, pages 6536–6545, 2018

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.946802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1e7a0c5-8831-45bf-9278-1ea0454e89cf · outbound

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

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Learning memory-guided normality for anomaly detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.931603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a42ed870-cf3a-4a67-b89e-13c9020c692e · outbound

This paper cites Spatiotemporal pyramid network for video action recognition.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Spatiotemporal pyramid network for video action recognition

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.916690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc199e1d-aafa-48b5-93c1-6026d3f119e5 · outbound

This paper cites Graphconvolutionallabelnoisecleaner:Trainaplug-and- play action classifier for anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Graphconvolutionallabelnoisecleaner:Trainaplug-and- play action classifier for anomaly detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.901395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 923745a4-0178-4602-aa16-3910effd06d9 · outbound

This paper cites Cbam: Convolutional block attention module.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Cbam: Convolutional block attention module

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.884211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee39338a-fb04-4404-b5df-18d0626f1988 · outbound

This paper cites Video anomaly detection with multi-scale feature and temporal in- formation fusion.Neurocomputing, 423:264–273, 2021.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Video anomaly detection with multi-scale feature and temporal in- formation fusion.Neurocomputing, 423:264–273, 2021

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.865595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a73e0cd9-bffb-4daa-a18e-eb82e6599104 · outbound

This paper cites Video anomaly detection via self-supervised and spatio-temporal proxy tasks learning.Pattern Recognition, 158:111021, 2025.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Video anomaly detection via self-supervised and spatio-temporal proxy tasks learning.Pattern Recognition, 158:111021, 2025

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.846539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18df3fc5-d464-4aec-a3c2-90181bd0a647 · outbound

This paper cites Weakly supervised video anomaly detection and localization with spatio-temporal prompts.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Weakly supervised video anomaly detection and localization with spatio-temporal prompts

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.830782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f48969e-b57a-4203-8068-4b286c4c0497 · outbound

This paper cites Video anomaly detection via spatio-temporal pseudo-anomaly generation: A unified approach.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Video anomaly detection via spatio-temporal pseudo-anomaly generation: A unified approach

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.805129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5fc84d14-f5e6-46f7-92f7-2568fe328e67 · outbound

This paper cites Audio-visual event localization in unconstrained videos.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Audio-visual event localization in unconstrained videos

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.786020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb20eb8d-36fe-49d0-bc8d-442ffe73a46a · outbound

This paper cites Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:14.885870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9802c051-c420-4576-ab98-b6156ca70377 · outbound

This paper cites Dualconditioned motion diffusion for pose-based video anomaly detection.Proceed- ings of the AAAI Conference on Artificial Intelligence, 39(7):7700– 7708, 2025.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Dualconditioned motion diffusion for pose-based video anomaly detection.Proceed- ings of the AAAI Conference on Artificial Intelligence, 39(7):7700– 7708, 2025

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.767525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45ca4f5e-ba9a-4072-ac45-69c49d582b39 · outbound

This paper cites Learning transferable visual mod- elsfromnaturallanguagesupervision.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Learning transferable visual mod- elsfromnaturallanguagesupervision

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.744359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8037c2ed-23fd-41fa-a619-764d3a4379b9 · outbound

This paper cites Mmvad: A vision-language model for cross-domain video anomaly detection with contrastive learningandscale-adaptiveframesegmentation.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Mmvad: A vision-language model for cross-domain video anomaly detection with contrastive learningandscale-adaptiveframesegmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.729057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ae81ab9-931c-4cbb-b1b8-f38be23f0a13 · outbound

This paper cites The information bottleneck method.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection The information bottleneck method

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:15.065892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b06a3356-e5cd-44ec-8fed-71c200ab473d · outbound

This paper cites Deep Variational Information Bottleneck.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Deep Variational Information Bottleneck

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:15.072579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2805ee39-6f20-41ac-88e6-ca70724c3ea0 · outbound

This paper cites Temporalconvolutional network with complementary inner bag loss for weakly supervised anomalydetection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Temporalconvolutional network with complementary inner bag loss for weakly supervised anomalydetection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.710826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d697cf2a-790f-42d6-8cb4-2f42f9b96e92 · outbound

This paper cites Batchfeaturestandardizationnet- workwithtripletlossforweakly-supervisedvideoanomalydetection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Batchfeaturestandardizationnet- workwithtripletlossforweakly-supervisedvideoanomalydetection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.688185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3caca289-41f6-4012-938b-242ef400566e · outbound

This paper cites Learningcausaltemporalrelationandfeature discrimination for anomaly detection.IEEE Transactions on Image Processing, 30:3513–3527, 2021.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Learningcausaltemporalrelationandfeature discrimination for anomaly detection.IEEE Transactions on Image Processing, 30:3513–3527, 2021

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.665871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e277795-4a61-451e-a775-d34f70148ab3 · outbound

This paper cites Normality guided multiple instance learning for weakly supervised video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Normality guided multiple instance learning for weakly supervised video anomaly detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.650345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b7f36e2-65ed-4176-b215-0d7cccdce3c4 · outbound

This paper cites Diffusion-based normality pre-training for weakly supervised video anomaly detection.Expert Systems with Applications, 251:124013, 2024.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Diffusion-based normality pre-training for weakly supervised video anomaly detection.Expert Systems with Applications, 251:124013, 2024

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.633865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 458a3d57-ffa8-46f9-9553-13dc6274cc6b · outbound

This paper cites Mgfn: Magnitude-contrastive glance- and-focus network for weakly-supervised video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Mgfn: Magnitude-contrastive glance- and-focus network for weakly-supervised video anomaly detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.610563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a497a5c-446f-4232-9d8f-29e452cd01dd · outbound

This paper cites Clip- driven multi-scale instance learning for weakly supervised video anomaly detection.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Clip- driven multi-scale instance learning for weakly supervised video anomaly detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.585398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4547a8a-802c-47c6-bbf7-67caa2f39651 · outbound

This paper cites Transformer-enabled weakly supervised abnormal event detection in intelligent video surveillance systems.Engineering Applications of Artificial Intelligence, 139:109496, 2025.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Transformer-enabled weakly supervised abnormal event detection in intelligent video surveillance systems.Engineering Applications of Artificial Intelligence, 139:109496, 2025

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.560346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af1a9a8a-a663-42de-9a89-54658dd8f949 · outbound

This paper cites Tds-net: Transformer enhanced dual-stream network for video anomaly detection.Expert Systems with Applications, 256:124846, 2024.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Tds-net: Transformer enhanced dual-stream network for video anomaly detection.Expert Systems with Applications, 256:124846, 2024

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:30:15.539892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Outbound references

Pith citing papers