CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP | Paper Citation Record

Observation a27001f3-92fa-4680-851b-1120cdc0ce94 · outbound

This paper cites A reconstruction-based feature adaptation for anomaly detection with self-supervised multi-scale aggregation,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP A reconstruction-based feature adaptation for anomaly detection with self-supervised multi-scale aggregation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.661700Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation acad7fd4-9499-4444-ac8e-5a974e17e3cd · outbound

This paper cites Simplenet: A simple network for image anomaly detection and localization,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Simplenet: A simple network for image anomaly detection and localization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.651089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54df62d4-6d26-4de7-b6c5-221a2e19268f · outbound

This paper cites Omni-frequency channel-selection representations for unsupervised anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Omni-frequency channel-selection representations for unsupervised anomaly detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.639623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a1c222f-8ed5-4453-aa5e-24ee72149901 · outbound

This paper cites Target be- fore shooting: Accurate anomaly detection and localization under one millisecond via cascade patch retrieval,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Target be- fore shooting: Accurate anomaly detection and localization under one millisecond via cascade patch retrieval,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.629182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 79aaeaa5-ac31-4816-bd7b-5bcdbea220eb · outbound

This paper cites Deep one-class classification,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Deep one-class classification,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.618211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8944d4b1-59ef-42c0-8985-dec0e8c6186f · outbound

This paper cites Learning deep features for one-class classification,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Learning deep features for one-class classification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.607005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27af588a-5dc0-4db1-a332-f9ab65e455c3 · outbound

This paper cites Coft-ad: Contrastive fine-tuning for few-shot anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Coft-ad: Contrastive fine-tuning for few-shot anomaly detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.595591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ba7adae-18f1-4426-a882-67a18011c256 · outbound

This paper cites Few-shot anomaly detection with adversarial loss for robust feature representations,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Few-shot anomaly detection with adversarial loss for robust feature representations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.584027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 40072f3c-2d60-4c4c-926f-89e2319fc9bc · outbound

This paper cites Zero-shot versus many-shot: Unsupervised texture anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Zero-shot versus many-shot: Unsupervised texture anomaly detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.573015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f86c455d-8940-4d98-8da7-9657696b3a15 · outbound

This paper cites Pushing the limits of fewshot anomaly detection in industry vision: Graphcore,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Pushing the limits of fewshot anomaly detection in industry vision: Graphcore,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.561978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 94c316fe-21bf-436a-abec-7ffc31158e2a · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.573225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5fa07da-c53b-486e-941f-6cc26d90e1d7 · outbound

This paper cites Flamingo: a visual language model for few-shot learning,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Flamingo: a visual language model for few-shot learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.550308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5580fee-00f2-4aa9-a8d4-5aef7c5f29a4 · outbound

This paper cites AnomalyCLIP: Object-agnostic prompt learning for zero-shot anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP AnomalyCLIP: Object-agnostic prompt learning for zero-shot anomaly detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.539155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ee6f690a-d48e-48c9-8d00-def79c5b421f · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Learning transferable visual models from natural language supervi- sion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.527832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a962dbca-f15d-47bc-81fc-97536ebf034b · outbound

This paper cites Clip-fsac: Boosting clip for few-shot anomaly classification with synthetic anomalies,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Clip-fsac: Boosting clip for few-shot anomaly classification with synthetic anomalies,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.516280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 40806851-1bf3-4169-bc6c-36e5a8a8431a · outbound

This paper cites CLIP-Adapter: Better Vision-Language Models with Feature Adapters.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP CLIP-Adapter: Better Vision-Language Models with Feature Adapters

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.593415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70e232e-cef7-474f-846a-4a9fdffbfb76 · outbound

This paper cites Pni: Industrial anomaly detection using position and neighborhood information,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Pni: Industrial anomaly detection using position and neighborhood information,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.504205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9e9af9c5-029a-4fef-b309-d41cfc23cd5e · outbound

This paper cites Multiresolution knowledge distillation for anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Multiresolution knowledge distillation for anomaly detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.492065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46383726-a7c1-4698-ab6c-b715bbc85c25 · outbound

This paper cites Filo: Zero-shot anomaly detection by fine-grained description and high-quality localization,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Filo: Zero-shot anomaly detection by fine-grained description and high-quality localization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.481406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6f4abec-8070-47d4-a4c3-875f1beeeb19 · outbound

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

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Ganomaly: Semi- supervised anomaly detection via adversarial training,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.469934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a79b133-dbc9-46db-acbe-4ad261c93a24 · outbound

This paper cites Focus the discrepancy: Intra- and inter-correlation learning for image anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Focus the discrepancy: Intra- and inter-correlation learning for image anomaly detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.457993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a46d2de-76a5-42ef-aed8-5d8152914c5d · outbound

This paper cites Unsupervised anomaly detection for surface defects with dual-siamese network,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Unsupervised anomaly detection for surface defects with dual-siamese network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.446632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0fe6fbaa-e6f2-4bf0-8b51-a679019c3d41 · outbound

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

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Cutpaste: Self-supervised learning for anomaly detection and localization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.435730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8bc3a575-65f1-4eb7-8535-5ea4058027bb · outbound

This paper cites Generative adversarial nets,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Generative adversarial nets,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.423933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 92ebefa7-92e2-4539-a4d1-97a0f66b7102 · outbound

This paper cites Diad: A diffusion-based frame- work for multi-class anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Diad: A diffusion-based frame- work for multi-class anomaly detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.412217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e816e44-4fa7-47b8-8168-51145311dacc · outbound

This paper cites DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.631876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b994dc12-818e-4ba4-aaef-3faaf815c49b · outbound

This paper cites 12-in-1: Multi- task vision and language representation learning,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP 12-in-1: Multi- task vision and language representation learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.399627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation acdbe881-0b25-4eb3-acd4-df21a5eb7484 · outbound

This paper cites Alpha-clip: A clip model focusing on wherever you want,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Alpha-clip: A clip model focusing on wherever you want,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.388381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 74f76195-b50a-4001-8679-8de279a6c20c · outbound

This paper cites Interpreting CLIP’s image representation via text-based decomposition,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Interpreting CLIP’s image representation via text-based decomposition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.377481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 38cc4454-6cc4-418e-841d-9ba302699cc8 · outbound

This paper cites Pointclip: Point cloud understanding by clip,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Pointclip: Point cloud understanding by clip,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.365853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d812f91-e19f-4064-bcf2-a188526606f9 · outbound

This paper cites Actionclip: Adapting language-image pretrained models for video action recognition,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Actionclip: Adapting language-image pretrained models for video action recognition,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.353612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a982f189-5240-4187-80db-194971adc53b · outbound

This paper cites Grounded language-image pre-training,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Grounded language-image pre-training,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.342379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 99ee8c33-36a3-4614-8072-ec2ce201b6c9 · outbound

This paper cites Denseclip: Language-guided dense prediction with context-aware prompting,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Denseclip: Language-guided dense prediction with context-aware prompting,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.331182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2bfe86db-c017-48c3-bce0-9f86b56b479b · outbound

This paper cites In defense of clip-based video relation detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP In defense of clip-based video relation detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.319725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c2953a91-b3ee-4bee-bf69-3eb959481e08 · outbound

This paper cites Clip-driven fine-grained text- image person re-identification,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Clip-driven fine-grained text- image person re-identification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.307397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d9405a2-2f49-4532-b549-15ec6196459f · outbound

This paper cites Turning a clip model into a scene text spotter,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Turning a clip model into a scene text spotter,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.295665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9dd3bdb0-96be-4ca3-b451-afd008e88137 · outbound

This paper cites Winclip: Zero-/few-shot anomaly classification and segmentation,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Winclip: Zero-/few-shot anomaly classification and segmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.284114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 37ebd55a-01a9-44da-bb66-de7df66eb3dc · outbound

This paper cites Fastrecon: Few- shot industrial anomaly detection via fast feature reconstruction,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Fastrecon: Few- shot industrial anomaly detection via fast feature reconstruction,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.272031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f857b9b-8596-4935-be2e-d47c7598b4b3 · outbound

This paper cites Few- shot fast-adaptive anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Few- shot fast-adaptive anomaly detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.260631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 345a0080-3720-4615-899d-69b53c1737a4 · outbound

This paper cites Toward generalist anomaly detection via in-context residual learning with few-shot sample prompts,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Toward generalist anomaly detection via in-context residual learning with few-shot sample prompts,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.249073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ddbb263-9dac-4297-bc00-558bc98f47e3 · outbound

This paper cites Fewsome: One- class few shot anomaly detection with siamese networks,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Fewsome: One- class few shot anomaly detection with siamese networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.237231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d287d6b-fc05-43fd-8f4b-f17ef56704f0 · outbound

This paper cites Registration based few-shot anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Registration based few-shot anomaly detection,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.224689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3851f3e4-ec8f-4f13-b466-3fd16a273282 · outbound

This paper cites ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.699824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 628c1d1c-9b8d-43cc-bc1c-563439a634e8 · outbound

This paper cites CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.704463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53a00488-3356-4050-99ce-9c97a9874308 · outbound

This paper cites Anomalygpt: Detecting industrial anomalies using large vision- language models,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Anomalygpt: Detecting industrial anomalies using large vision- language models,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.211496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e4047c7-3004-47f6-895f-4d7985c83eaf · outbound

This paper cites Promptad: Learning prompts with only normal samples for few-shot anomaly detection,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Promptad: Learning prompts with only normal samples for few-shot anomaly detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.199610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 35db4451-b7c7-4cd7-8ba9-918e12b215ee · outbound

This paper cites Collaborative discrepancy optimization for reliable image anomaly localization,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Collaborative discrepancy optimization for reliable image anomaly localization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.187382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 04bc81c6-69de-48c6-a018-08250301891e · outbound

This paper cites Natural synthetic anomalies for self-supervised anomaly detection and localization,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Natural synthetic anomalies for self-supervised anomaly detection and localization,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.174973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d77c78b-5d9b-49b6-a85b-ab40b6a58f9f · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Momentum contrast for unsupervised visual representation learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.163767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5212c28-9415-4a00-aedd-75130fd0bafa · outbound

This paper cites Padim: A patch distribution modeling framework for anomaly detection and localiza- tion,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Padim: A patch distribution modeling framework for anomaly detection and localiza- tion,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.151276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6d6917d-b513-4c8f-930e-847ae11cfc6e · outbound

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

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Towards total recall in industrial anomaly detection,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.138185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8854f8e0-31ee-4d97-82c1-143a247eca6a · outbound

This paper cites Sub-image anomaly detection with deep pyramid correspondences,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Sub-image anomaly detection with deep pyramid correspondences,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.124965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5fe9b4e6-0641-45af-bd51-b750502085eb · outbound

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

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Mvtec ad — a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.112869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7bf89a99-66a5-4345-b31e-af401be60de1 · outbound

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

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Spot-the- difference self-supervised pre-training for anomaly detection and seg- mentation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.101426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 346f7ee2-22d9-4be5-80e2-9662d2c8b5d6 · outbound

This paper cites an unresolved cited work.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:07:35.089859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0ef731f-eac5-4c18-8847-15542adb8476 · outbound

This paper cites Anople: Few-shot anomaly detection via bi-directional prompt learning with only normal samples,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Anople: Few-shot anomaly detection via bi-directional prompt learning with only normal samples,

Reference 56

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:07:34.961472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 314a5873-4dd6-41a4-bae0-045e63fd27de · outbound

This paper cites Openclip,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Openclip,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.757985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8cd18e-f060-465a-aae4-68666a561bee · outbound

This paper cites Laion-400m: Open dataset of clip-filtered 400 million image-text pairs,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Laion-400m: Open dataset of clip-filtered 400 million image-text pairs,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.762762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 158b76b9-7691-4e50-9f80-d903fe84954f · outbound

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

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Efficientad: Accurate visual anomaly detection at millisecond-level latencies,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.071068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aeff1e8b-6a2f-43fd-9e55-fb401c941f88 · outbound

This paper cites FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.771217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 482518ba-093f-433c-a06e-9b35837ead56 · outbound

This paper cites Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:07:34.837882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 87a9afcc-bdc5-4913-b998-a8dae7e757a3 · outbound

This paper cites A unified anomaly synthesis strategy with gradient ascent for industrial anomaly detection and localization,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP A unified anomaly synthesis strategy with gradient ascent for industrial anomaly detection and localization,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.059058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d412d58-d923-44eb-9bb8-4d3af00aa95c · outbound

This paper cites Visualizing data using t-sne,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Visualizing data using t-sne,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.046764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 020a4a85-e657-4ffa-9ea9-9d448d9e864d · outbound

This paper cites Learning to prompt for vision- language models,.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Learning to prompt for vision- language models,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:07:35.034993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers