Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection | Paper Citation Record

Observation cf686681-4f8a-4b93-bfe4-874987b4895b · outbound

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

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection

Reference 1

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Observation 909684b9-7ceb-4cfa-85b0-effb9041d587 · outbound

This paper cites Comple- mentary pseudo multimodal feature for point cloud anomaly detection.Pattern Recognition, 156:110761, 2024.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Comple- mentary pseudo multimodal feature for point cloud anomaly detection.Pattern Recognition, 156:110761, 2024

Reference 2

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Observation ec0c91dd-b51e-458c-b22c-e0ac4438353e · outbound

This paper cites Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly de- tection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly de- tection

Reference 3

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Observation 0a70c526-e37b-4055-8a80-3231df00d48a · outbound

This paper cites Personalizing vision- language models with hybrid prompts for zero-shot anomaly detection.IEEE Transactions on Cybernetics, 2025.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Personalizing vision- language models with hybrid prompts for zero-shot anomaly detection.IEEE Transactions on Cybernetics, 2025

Reference 4

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Observation a6d47eae-2415-40ec-bf9a-312be01d03e7 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection ShapeNet: An Information-Rich 3D Model Repository

Reference 5

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Observation 3d55558e-c465-4755-aa18-3b607e2e0f99 · outbound

This paper cites Dis- tilled large language model-driven dynamic sparse expert ac- tivation mechanism.Applied Soft Computing, page 114037,.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Dis- tilled large language model-driven dynamic sparse expert ac- tivation mechanism.Applied Soft Computing, page 114037,

Reference 6

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Observation b16ad88f-2334-4bed-85e2-ed91d97d5faa · outbound

This paper cites Easynet: An easy net- work for 3d industrial anomaly detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Easynet: An easy net- work for 3d industrial anomaly detection

Reference 7

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Observation 7f2eb9c7-221d-4b47-bc33-e9faf836d6ef · outbound

This paper cites Toward zero-shot point cloud anomaly de- tection: A multiview projection framework.IEEE Transac- tions on Systems, Man, and Cybernetics: Systems, 2025.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Toward zero-shot point cloud anomaly de- tection: A multiview projection framework.IEEE Transac- tions on Systems, Man, and Cybernetics: Systems, 2025

Reference 8

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Observation 875d54a8-8da0-429c-be6f-e4b553f61119 · outbound

This paper cites Shape-guided dual-memory learning for 3d anomaly detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Shape-guided dual-memory learning for 3d anomaly detection

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Observation ee4b5da7-3b1a-409b-a372-02e9334bd192 · outbound

This paper cites 3d scanning method for robotized inspection of industrial sealed parts.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection 3d scanning method for robotized inspection of industrial sealed parts

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Observation 0aee7024-dd3a-40a8-932d-481768a053a7 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 11

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Observation 12e2a56d-5913-4db2-b332-a88dc4fd3def · outbound

This paper cites 3d octave and 2d vanilla mixed convolutional neural network for hyperspectral image classification with limited samples.Remote Sensing, 13(21):4407, 2021.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection 3d octave and 2d vanilla mixed convolutional neural network for hyperspectral image classification with limited samples.Remote Sensing, 13(21):4407, 2021

Reference 12

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Observation e6715ca1-36cd-483e-afb8-2cab7710273c · outbound

This paper cites A comprehensive performance evaluation of 3d local feature descriptors.Inter- national Journal of Computer Vision, 116(1):66–89, 2016.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection A comprehensive performance evaluation of 3d local feature descriptors.Inter- national Journal of Computer Vision, 116(1):66–89, 2016

Reference 13

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Observation 413f7e75-4689-45bc-9257-2ddcf3444ca1 · outbound

This paper cites Deep learning for 3d point clouds: A survey.IEEE transactions on pattern analysis and machine intelligence, 43(12):4338–4364, 2020.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Deep learning for 3d point clouds: A survey.IEEE transactions on pattern analysis and machine intelligence, 43(12):4338–4364, 2020

Reference 14

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Observation e0c56bcd-1b5f-4c70-87ee-7129c53b7454 · outbound

This paper cites Back to the feature: clas- sical 3d features are (almost) all you need for 3d anomaly detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Back to the feature: clas- sical 3d features are (almost) all you need for 3d anomaly detection

Reference 15

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Observation 2110e2b6-68ff-4157-92ee-40e4ff29a8bf · outbound

This paper cites Research on product surface quality in- spection technology based on 3d point cloud.Advances in Mechanical Engineering, 15(3):16878132231159523, 2023.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Research on product surface quality in- spection technology based on 3d point cloud.Advances in Mechanical Engineering, 15(3):16878132231159523, 2023

Reference 16

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Observation ab33111a-31ad-4e19-88ba-a256588cc94b · outbound

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

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Winclip: Zero- /few-shot anomaly classification and segmentation

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Observation 068b2a46-220c-49b5-8ddb-8f099a777517 · outbound

This paper cites Using spin images for efficient object recognition in cluttered 3d scenes.IEEE Transactions on pattern analysis and machine intelligence, 21(5):433–449, 2002.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Using spin images for efficient object recognition in cluttered 3d scenes.IEEE Transactions on pattern analysis and machine intelligence, 21(5):433–449, 2002

Reference 18

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Observation 34aa7bd9-b403-4a0f-b983-dc917ef64771 · outbound

This paper cites 3dffl: privacy- preserving federated few-shot learning for 3d point clouds in autonomous vehicles.Scientific Reports, 14(1):19589, 2024.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection 3dffl: privacy- preserving federated few-shot learning for 3d point clouds in autonomous vehicles.Scientific Reports, 14(1):19589, 2024

Reference 19

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Observation 4d9ff513-1d48-4726-b082-38d16a9bb025 · outbound

This paper cites MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection

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Observation 4fb3b928-2fbe-404f-b3c7-8b87f1206477 · outbound

This paper cites Towards scalable 3d anomaly detection and localization: A benchmark via 3d anomaly synthesis and a self-supervised learning network.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Towards scalable 3d anomaly detection and localization: A benchmark via 3d anomaly synthesis and a self-supervised learning network

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Observation 9de10be0-2558-4ffa-a857-dab37e72142a · outbound

This paper cites Multi-sensor object anomaly detection: Unifying appearance, geometry, and internal properties.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Multi-sensor object anomaly detection: Unifying appearance, geometry, and internal properties

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Observation d9d2f3d7-255d-4c6a-8344-ff9986e249f6 · outbound

This paper cites Real3d- ad: A dataset of point cloud anomaly detection.Advances in Neural Information Processing Systems, 36:30402–30415,.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Real3d- ad: A dataset of point cloud anomaly detection.Advances in Neural Information Processing Systems, 36:30402–30415,

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Observation 517d3d8d-59c4-425c-ab0d-e20aeb09cc8d · outbound

This paper cites Openshape: Scaling up 3d shape representation towards open-world understanding.Advances in neural information processing systems, 36:44860–44879, 2023.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Openshape: Scaling up 3d shape representation towards open-world understanding.Advances in neural information processing systems, 36:44860–44879, 2023

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Observation 66c4987f-1643-4335-9dfd-a41a3a00377b · outbound

This paper cites Data-driven many-objective crowd worker selection for mobile crowdsourcing in indus- trial iot.IEEE Transactions on Industrial Informatics, 19(1): 531–540, 2021.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Data-driven many-objective crowd worker selection for mobile crowdsourcing in indus- trial iot.IEEE Transactions on Industrial Informatics, 19(1): 531–540, 2021

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Observation 81c55119-773d-4622-8556-a32eff4959cc · outbound

This paper cites One-for-all few- shot anomaly detection via instance-induced prompt learn- ing.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection One-for-all few- shot anomaly detection via instance-induced prompt learn- ing

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Observation bc2acd62-71c7-46bf-ab73-6f6235d95472 · outbound

This paper cites Aa-clip: Enhancing zero-shot anomaly detection via anomaly-aware clip.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Aa-clip: Enhancing zero-shot anomaly detection via anomaly-aware clip

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Observation fe7b5869-c30f-446e-8d46-a6858f2983ee · outbound

This paper cites Beyond single-modal boundary: Cross-modal anomaly detection through visual prototype and harmoniza- tion.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Beyond single-modal boundary: Cross-modal anomaly detection through visual prototype and harmoniza- tion

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Observation fa297450-a4b7-4ec7-ab79-482e8b21fa3b · outbound

This paper cites Delving into out-of-distribution detection with vision-language representations.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Delving into out-of-distribution detection with vision-language representations

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Observation 9a39ad22-fab7-4cf7-a552-fd7c9f2e6e29 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Pointnet: Deep learning on point sets for 3d classification and segmentation

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Observation 2125f10b-f34c-4e33-bc82-dd974ff15e67 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017

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Observation e1e494b8-72e9-4eb8-abd6-3159e0445ecd · outbound

This paper cites Bayesian prompt flow learning for zero-shot anomaly detec- tion.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Bayesian prompt flow learning for zero-shot anomaly detec- tion

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Observation 7f8ba2e6-34d3-413d-888f-78cdaa6cb83d · outbound

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

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Learning transferable visual models from natural language supervi- sion

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Observation 2de2dd21-c663-44d3-ac3f-324190ca7c31 · outbound

This paper cites Towards to- tal recall in industrial anomaly detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Towards to- tal recall in industrial anomaly detection

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Observation 4fbf8e3a-c852-4709-aa9b-1ca02bf5641b · outbound

This paper cites Fast point feature histograms (fpfh) for 3d registration.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Fast point feature histograms (fpfh) for 3d registration

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Observation a1141ae0-d2bb-4dc1-8ee6-e55a57b761f4 · outbound

This paper cites Shot: Unique signatures of histograms for surface and tex- ture description.Computer vision and image understanding, 125:251–264, 2014.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Shot: Unique signatures of histograms for surface and tex- ture description.Computer vision and image understanding, 125:251–264, 2014

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Observation b418099e-9dcb-4fa2-9cb6-1a47ecbc7391 · outbound

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

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Attention is all you need.Advances in neural information processing systems, 30, 2017

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Observation 0b14dfcd-5e65-45fe-8ed4-6d29864813d8 · outbound

This paper cites Exploiting point- language models with dual-prompts for 3d anomaly detec- tion.Expert Systems with Applications, page 129758, 2025.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Exploiting point- language models with dual-prompts for 3d anomaly detec- tion.Expert Systems with Applications, page 129758, 2025

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Observation de073976-c2bc-4282-b5be-d94855cafe35 · outbound

This paper cites Toward ac- curate anomaly detection in industrial internet of things us- ing hierarchical federated learning.IEEE Internet of Things Journal, 9(10):7110–7119, 2021.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Toward ac- curate anomaly detection in industrial internet of things us- ing hierarchical federated learning.IEEE Internet of Things Journal, 9(10):7110–7119, 2021

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Observation a184a7e2-deb1-4846-8f98-9db4b420582f · outbound

This paper cites Dynamic graph cnn for learning on point clouds.ACM Transactions on Graphics (tog), 38(5):1–12, 2019.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Dynamic graph cnn for learning on point clouds.ACM Transactions on Graphics (tog), 38(5):1–12, 2019

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Observation a9d254ee-b9c4-4e09-9d43-e3a8db003be5 · outbound

This paper cites Multimodal industrial anomaly detection via hybrid fusion.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Multimodal industrial anomaly detection via hybrid fusion

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Observation 19c4a496-96f1-40f2-bb3f-b9a1786cf797 · outbound

This paper cites Multi- space crowd sensing task allocation: A dynamic co- optimization framework with fairness-aware reinforcement learning.IEEE Transactions on Mobile Computing, 2025.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Multi- space crowd sensing task allocation: A dynamic co- optimization framework with fairness-aware reinforcement learning.IEEE Transactions on Mobile Computing, 2025

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Observation 130b6ae0-b3aa-4350-80d8-e3069722bf55 · outbound

This paper cites Towards zero-shot 3d anomaly localization.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Towards zero-shot 3d anomaly localization

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Observation b214b605-51c6-4459-9fc9-62b65a334f74 · outbound

This paper cites Towards zero-shot anomaly detection and reasoning with multimodal large language models.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Towards zero-shot anomaly detection and reasoning with multimodal large language models

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Observation fdb4e8a6-0ad1-4feb-9a6f-7ca6678e61cd · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

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Observation 6a4eac6b-52bd-41b1-8bfa-263a45590094 · outbound

This paper cites Ulip-2: Towards scalable multimodal pre-training for 3d understanding.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Ulip-2: Towards scalable multimodal pre-training for 3d understanding

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Observation f4278576-dd08-4cf4-aaec-dc6a968b95af · outbound

This paper cites Po3ad: Predicting point offsets toward bet- ter 3d point cloud anomaly detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Po3ad: Predicting point offsets toward bet- ter 3d point cloud anomaly detection

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Observation 67bff8b4-51c8-4f31-a25e-7e5af2972a52 · outbound

This paper cites A unified model for multi-class anomaly detection.Advances in Neural Information Pro- cessing Systems, 35:4571–4584, 2022.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection A unified model for multi-class anomaly detection.Advances in Neural Information Pro- cessing Systems, 35:4571–4584, 2022

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Observation 05c706a0-573e-4229-90ff-fd54367021fc · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Point-bert: Pre-training 3d point cloud transformers with masked point modeling

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Observation 64a66929-2015-490d-8805-31c8965a021c · outbound

This paper cites Zero-shot learning in industrial scenarios: New large-scale benchmark, challenges and baseline.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Zero-shot learning in industrial scenarios: New large-scale benchmark, challenges and baseline

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Observation 17f3f115-8d1e-4744-bd06-a47ca814a52a · outbound

This paper cites Pointcore: An efficient framework for unsupervised point cloud anomaly detection using joint local-global features.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Pointcore: An efficient framework for unsupervised point cloud anomaly detection using joint local-global features

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Observation 9cd8e2ab-0de8-4e73-ae2c-8d559e50c7d9 · outbound

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

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection AnomalyCLIP: Object-agnostic prompt learning for zero-shot anomaly detection

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Resolution: unresolved; no resolver link, observed 2026-07-14T20:18:00.660828Z

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Observation dbec7800-93cd-40ba-9740-bebac2e8f769 · outbound

This paper cites Pointad: Comprehending 3d anomalies from points and pixels for zero-shot 3d anomaly detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Pointad: Comprehending 3d anomalies from points and pixels for zero-shot 3d anomaly detection

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-14T20:18:00.660828Z

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Observation 2596106a-8f73-48aa-b863-3ce7320bdea6 · outbound

This paper cites A novel ground- based cloud image segmentation method by using deep trans- fer learning.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2021.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection A novel ground- based cloud image segmentation method by using deep trans- fer learning.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2021

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-14T20:18:00.660828Z

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Observation 138b7ec0-943f-4931-a679-b0ea2bfb2c90 · outbound

This paper cites R3d-ad: Reconstruction via diffu- sion for 3d anomaly detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection R3d-ad: Reconstruction via diffu- sion for 3d anomaly detection

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-14T20:18:00.660828Z

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Observation 796eabe6-df6a-4e5c-be10-1211f447adfc · outbound

This paper cites Multi-granularity episodic contrastive learning for few-shot learning.Pattern Recognition, 131:108820, 2022.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Multi-granularity episodic contrastive learning for few-shot learning.Pattern Recognition, 131:108820, 2022

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-14T20:18:00.660828Z

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Observation b3ad51e8-cdd5-48be-9d71-a16c747e3f3d · outbound

This paper cites Real-iad d3: A real-world 2d/pseudo-3d/3d dataset for industrial anomaly detection.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Real-iad d3: A real-world 2d/pseudo-3d/3d dataset for industrial anomaly detection

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-14T20:18:00.660828Z

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Observation ee754bc1-8f8d-458f-b36f-07c2618b1166 · outbound

This paper cites Point- clip v2: Prompting clip and gpt for powerful 3d open-world learning.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection Point- clip v2: Prompting clip and gpt for powerful 3d open-world learning

Reference 58

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