Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection | Paper Citation Record

Observation 993276c8-8575-44dc-8e3e-47474519ff87 · outbound

This paper cites Unsupervised machine anomaly detection using autoencoder and temporal convolutional net- work,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Unsupervised machine anomaly detection using autoencoder and temporal convolutional net- work,

Reference 1

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Observation 93205259-9e04-4812-97c2-4d1636296197 · outbound

This paper cites Vitalnet: Anomaly on industrial textured surfaces with hybrid transformer,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Vitalnet: Anomaly on industrial textured surfaces with hybrid transformer,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.598905Z

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Observation 709befe8-af23-475b-b48a-b85fe00e69db · outbound

This paper cites Deep one-class classifi- cation via interpolated gaussian descriptor,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Deep one-class classifi- cation via interpolated gaussian descriptor,

Reference 3

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Observation 7d565d44-d9f0-417d-85d8-fe0cd2dabed6 · outbound

This paper cites Gan-based anomaly detection: A review,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Gan-based anomaly detection: A review,

Reference 4

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Observation e2e8be2f-8113-4912-8e76-be2a3dd9d3ce · outbound

This paper cites Cloud-edge coordinated traffic anomaly detection for industrial cyber-physical systems,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Cloud-edge coordinated traffic anomaly detection for industrial cyber-physical systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.558990Z

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Observation 62ad7b54-1aa5-4c04-95e8-e28807a28268 · outbound

This paper cites Itran: A novel transformer-based approach for industrial anomaly detection and local- ization,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Itran: A novel transformer-based approach for industrial anomaly detection and local- ization,

Reference 6

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Observation d7923fcf-cb8f-4b0a-8002-d5890fe67391 · outbound

This paper cites Crowded scene analysis: A survey,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Crowded scene analysis: A survey,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.527846Z

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Observation 0b38985c-3471-474c-8cb3-4d0eb31dffbf · outbound

This paper cites Feature retention guidance-based asymmet- ric distillation network for industrial precision surface defect detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Feature retention guidance-based asymmet- ric distillation network for industrial precision surface defect detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.512902Z

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Observation f76d54ce-c5dc-4cba-bb95-0ff9c3af4617 · outbound

This paper cites Towards total recall in industrial anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Towards total recall in industrial anomaly detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.497570Z

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Observation be7a4e6f-0a25-4440-baad-daa85ff96930 · outbound

This paper cites Anomaly-gan: A data augmentation method for train surface anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Anomaly-gan: A data augmentation method for train surface anomaly detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.482851Z

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Observation ca3d2615-6f40-415c-a696-66e01f37a781 · outbound

This paper cites Discriminative feature learning framework with gradient preference for anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Discriminative feature learning framework with gradient preference for anomaly detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.467213Z

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Observation ea39373c-6552-45b1-823c-e87c645afa57 · outbound

This paper cites Be- yond dents and scratches: Logical constraints in unsupervised anomaly detection and localization,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Be- yond dents and scratches: Logical constraints in unsupervised anomaly detection and localization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.452115Z

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Observation 7d4bb54f-a615-4e12-abdd-770ccb7ce606 · outbound

This paper cites Panda: Adapting pretrained features for anomaly detection and segmentation,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Panda: Adapting pretrained features for anomaly detection and segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.435510Z

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Observation 19e4cb51-37ff-43c3-beb8-e1299986f676 · outbound

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

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Learning memory-guided normality for anomaly detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.419195Z

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Observation fed85d98-4544-4d12-8325-79402867d285 · outbound

This paper cites Visual anomaly detection via partition memory bank module and error estimation,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Visual anomaly detection via partition memory bank module and error estimation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.403291Z

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Observation afcb8fe6-1dad-4a08-98d6-0e9cac19959d · outbound

This paper cites Self-attention memory- augmented wavelet-cnn for anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Self-attention memory- augmented wavelet-cnn for anomaly detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.385382Z

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Observation ca1f1e2c-7a59-4c0a-9e7c-96ea6ce1ea94 · outbound

This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.368929Z

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Observation dd41bf2b-3497-4117-99e4-c4a9c576566a · outbound

This paper cites Anomaly detection via reverse distillation from one-class embedding,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Anomaly detection via reverse distillation from one-class embedding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.352728Z

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Observation 946b4dbe-1c5c-4465-a488-af4da2b7975f · outbound

This paper cites Generative neural networks for anomaly detection in crowded scenes,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Generative neural networks for anomaly detection in crowded scenes,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.336675Z

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Observation 4fceba68-65ec-455c-8390-57ec7e92d06b · outbound

This paper cites Template-guided hierarchical feature restoration for anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Template-guided hierarchical feature restoration for anomaly detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.321329Z

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Observation 9b670622-d0b3-4310-9f62-b490a218e923 · outbound

This paper cites Pointwise motion image (pmi): A novel motion representation and its applications to abnormality detection and behavior recognition,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Pointwise motion image (pmi): A novel motion representation and its applications to abnormality detection and behavior recognition,

Reference 21

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Observation e3225952-32a5-410a-a159-d8d3539986a4 · outbound

This paper cites Memorizing structure-texture correspondence for image anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Memorizing structure-texture correspondence for image anomaly detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.295900Z

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Observation 0e69ebd2-ecb6-4e99-a1e9-2d2404f27712 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Learning transferable visual models from natural language supervision,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.281892Z

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Observation ffb2da41-35a0-4a7b-9d8c-8173fd00dac8 · outbound

This paper cites Sub-Image Anomaly Detection with Deep Pyramid Correspondences.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T18:51:47.358907Z

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Observation dbd015a5-4aab-42ba-b1e4-4aa13f7e69d5 · outbound

This paper cites Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.267062Z

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Observation 34d3be81-5ff2-42b1-a015-6db754ebf3e5 · outbound

This paper cites Student-Teacher Feature Pyramid Matching for Anomaly Detection.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Student-Teacher Feature Pyramid Matching for Anomaly Detection

Reference 26

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Observation 4b724662-a627-48c2-bcfd-9b391f1840f9 · outbound

This paper cites Multiresolution knowledge distillation for anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Multiresolution knowledge distillation for anomaly detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.251970Z

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Observation b6c9f63f-5216-4985-b309-31248c4b1b87 · outbound

This paper cites Ganomaly: Semi- supervised anomaly detection via adversarial training,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Ganomaly: Semi- supervised anomaly detection via adversarial training,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.236466Z

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Observation f8b30f42-6084-43d9-a7a7-b285d25abaf4 · outbound

This paper cites Towards visually explaining variational autoencoders,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Towards visually explaining variational autoencoders,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.219823Z

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Observation 01fe45ba-9677-4337-a924-733b99486498 · outbound

This paper cites Adversarial 3d convolutional auto- encoder for abnormal event detection in videos,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Adversarial 3d convolutional auto- encoder for abnormal event detection in videos,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.204123Z

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Observation 04f65337-ad33-4903-bc2f-a8f1bd0396cf · outbound

This paper cites Pull & push: Leveraging differential knowledge distillation for efficient unsupervised anomaly detection and localization,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Pull & push: Leveraging differential knowledge distillation for efficient unsupervised anomaly detection and localization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.188294Z

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Observation 95594ba9-da84-4e50-b965-7d42af5d3342 · outbound

This paper cites Logicad: Explainable anomaly detection via vlm-based text feature extraction,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Logicad: Explainable anomaly detection via vlm-based text feature extraction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.173480Z

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Observation 73402fe6-14bd-4e7a-b2c5-1daf9066315d · outbound

This paper cites Neural discrete representation learning,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Neural discrete representation learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.158328Z

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Observation a35dbdc9-8571-4c9b-9878-ad52a4b487e1 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection High- resolution image synthesis with latent diffusion models,

Reference 34

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Observation ebe411db-eada-4479-aca0-a5b3117845f8 · outbound

This paper cites Generating diverse structure for image inpainting with hierarchical vq-vae,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Generating diverse structure for image inpainting with hierarchical vq-vae,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.133262Z

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Observation b8fccbca-7a9b-44ce-8ec1-eb0983c82c2b · outbound

This paper cites Low bit-rate speech coding with vq-vae and a wavenet decoder,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Low bit-rate speech coding with vq-vae and a wavenet decoder,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.118179Z

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Observation 56d50039-317c-47a3-8da3-462a1ff96f50 · outbound

This paper cites Msmc- tts: Multi-stage multi-codebook vq-vae based neural tts,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Msmc- tts: Multi-stage multi-codebook vq-vae based neural tts,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.102939Z

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Observation 0333b6d4-1787-470e-8236-3fe144a3fe7d · outbound

This paper cites Unsupervised brain imaging 3d anomaly detection and segmentation with transformers,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Unsupervised brain imaging 3d anomaly detection and segmentation with transformers,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.088592Z

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Observation 12f8ed77-b3ca-4f73-9388-4e4ddb6ac8a9 · outbound

This paper cites Fast unsupervised brain anomaly detection and segmentation with diffusion models,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Fast unsupervised brain anomaly detection and segmentation with diffusion models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.073979Z

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Observation 9302b489-0ebb-4109-870a-8011511c6ee3 · outbound

This paper cites Intrusion detection for high-speed railways based on unsupervised anomaly detection models,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Intrusion detection for high-speed railways based on unsupervised anomaly detection models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.059536Z

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Observation 34e7ea79-50af-4385-b144-3e3d40440453 · outbound

This paper cites Unified vision-language pre-training for image captioning and vqa,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Unified vision-language pre-training for image captioning and vqa,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.043953Z

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Observation 5dafee77-e848-452c-b863-bf110baf4198 · outbound

This paper cites Label2label: A language modeling framework for multi-attribute learning,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Label2label: A language modeling framework for multi-attribute learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.027461Z

Source-reported events for the cited work

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Observation b0312471-c967-4366-bd0b-3a2d2f390244 · outbound

This paper cites Clip4caption: Clip for video caption,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Clip4caption: Clip for video caption,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:48.011655Z

Source-reported events for the cited work

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Observation b662630e-dac5-43ea-b745-dc18fbd9b836 · outbound

This paper cites Multimodal local-global attention network for affective video content analysis,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Multimodal local-global attention network for affective video content analysis,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.996516Z

Source-reported events for the cited work

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Observation 76678a1b-9680-4720-a834-c094ad6d5339 · outbound

This paper cites Virtex: Learning visual representations from textual annotations,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Virtex: Learning visual representations from textual annotations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.981318Z

Source-reported events for the cited work

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Observation 3f4771d4-23ae-4001-a176-79dc9d8de0ce · outbound

This paper cites A simple baseline for open-vocabulary semantic segmentation with pre- trained vision-language model,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection A simple baseline for open-vocabulary semantic segmentation with pre- trained vision-language model,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.966780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d980f3e-72a3-4898-bce1-77e329b574b5 · outbound

This paper cites X-clip: End- to-end multi-grained contrastive learning for video-text retrieval,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection X-clip: End- to-end multi-grained contrastive learning for video-text retrieval,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T18:51:47.463632Z

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Observation 8663e807-6e25-47e7-8c80-8a834c6c3dfd · outbound

This paper cites Hit: Hier- archical transformer with momentum contrast for video-text retrieval,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Hit: Hier- archical transformer with momentum contrast for video-text retrieval,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.941281Z

Source-reported events for the cited work

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Observation 3bba8fd5-c2a1-4655-a9c9-e30ce919f66d · outbound

This paper cites CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T18:51:47.472317Z

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Observation f3c41eee-88d7-4d20-aeaa-a81b36e2e056 · outbound

This paper cites Long movie clip classification with state-space video models,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Long movie clip classification with state-space video models,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.924586Z

Source-reported events for the cited work

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Observation f384c9e6-2e84-42f7-b230-c1545d5b4414 · outbound

This paper cites Cris: Clip- driven referring image segmentation,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Cris: Clip- driven referring image segmentation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.909777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 102400ce-adb8-4231-b2d8-0574d43992e2 · outbound

This paper cites Per-clip video object segmentation,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Per-clip video object segmentation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.894733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 365db461-9a3b-423a-a16e-97e213343ea4 · outbound

This paper cites An elementary proof of a theorem of johnson and lindenstrauss,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection An elementary proof of a theorem of johnson and lindenstrauss,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.879469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4753964c-563f-4c8f-bbbc-1a2bd39ee383 · outbound

This paper cites Steger, M.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Steger, M

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.863596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a906e27-732a-4bd3-81f7-10f8999d2740 · outbound

This paper cites f-anogan: Fast unsupervised anomaly detection with generative adversarial networks,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection f-anogan: Fast unsupervised anomaly detection with generative adversarial networks,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T18:51:47.500178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be79496f-be09-4ec0-b03b-513a7ab6b7df · outbound

This paper cites Variational autoencoder based anomaly detection using reconstruction probability,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Variational autoencoder based anomaly detection using reconstruction probability,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.838946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dea6fe65-dc27-4d71-b2dc-c3b1e705daa9 · outbound

This paper cites Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T18:51:47.509239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba16046c-f7e3-49e5-809f-14872980a0d8 · outbound

This paper cites Padim: a patch dis- tribution modeling framework for anomaly detection and localization,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Padim: a patch dis- tribution modeling framework for anomaly detection and localization,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.823871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 622e9d78-4b05-4426-916f-c144758bf863 · outbound

This paper cites Vt- adl: A vision transformer network for image anomaly detection and localization,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Vt- adl: A vision transformer network for image anomaly detection and localization,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.809222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4f78efe-d689-4bf4-93d7-d464f67f1923 · outbound

This paper cites Deep residual learning for image recognition,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Deep residual learning for image recognition,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.793184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d15ff62-a61a-4d6e-99b1-fb2779f8c022 · outbound

This paper cites Aggregated resid- ual transformations for deep neural networks,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Aggregated resid- ual transformations for deep neural networks,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.777406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6df7d3b9-e991-4658-b026-d447423b5cc4 · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Uformer: A general u-shaped transformer for image restoration,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.760105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 959ea355-e177-469c-813e-f0cb1e23bdef · outbound

This paper cites Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:51:47.621609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69ee84fc-8ffb-45ca-96f7-1d0cbb75b176 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Adam: A Method for Stochastic Optimization

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T18:51:47.541575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e0d853f-185c-4a83-979e-5f2306b6ae67 · outbound

This paper cites Patch svdd: Patch-level svdd for anomaly detection and segmentation,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Patch svdd: Patch-level svdd for anomaly detection and segmentation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.743212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c262043-2be3-4ac9-b320-6f2135620372 · outbound

This paper cites Draem-a discriminatively trained reconstruction embedding for surface anomaly detection,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Draem-a discriminatively trained reconstruction embedding for surface anomaly detection,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.728006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 104dbd85-0711-49cf-867f-aba4a7acad35 · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly detection and localization,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Cutpaste: Self-supervised learning for anomaly detection and localization,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.713024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 988775d5-b866-44ce-b996-7bd762f38470 · outbound

This paper cites Same same but differnet: Semi-supervised defect detection with normalizing flows,.

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Same same but differnet: Semi-supervised defect detection with normalizing flows,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:51:47.698499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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