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Paper Citation Record · LEDGER

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection

As of 15 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2608.09633.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.09633 v2

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:18:22.434113Z

measured 82 of 82 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

82 of 82 outbound references displayed

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Outbound references

Observation 06424338-4a53-4e33-8af0-b4dc063c29cd · outbound

This paper cites In: 20th ACM Conference on Multimedia Systems (ACMMM) (Oct 2012),https: //publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: 20th ACM Conference on Multimedia Systems (ACMMM) (Oct 2012),https: //publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf

Reference 1

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Observation d3c80c7d-b10b-49e0-ab91-e992c7f698e4 · outbound

This paper cites In: International Conference on Machine Learning (ICML) (Aug 2017),http://publications.idiap.ch/downloads/papers/2017/ Anjos_ICML2017-2_2017.pdf.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: International Conference on Machine Learning (ICML) (Aug 2017),http://publications.idiap.ch/downloads/papers/2017/ Anjos_ICML2017-2_2017.pdf

Reference 2

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Observation d802a9cd-4fb8-4013-afa2-06c29fa484e6 · outbound

This paper cites In: European conference on computer vision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: European conference on computer vision

Reference 3

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Observation 52ae197c-8502-42c4-bdfa-403e36a11ae8 · outbound

This paper cites Qwen2.5-VL Technical Report.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Qwen2.5-VL Technical Report

Reference 4

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Observation 3395cdb8-38f1-45a2-b148-e87fb469c7af · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection BEiT: BERT Pre-Training of Image Transformers

Reference 5

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Observation 1d5b065f-b16d-489e-90ef-c437d6c0df38 · outbound

This paper cites In: 2017 12th IEEE international conference on automatic face & gesture recognition (FG 2017).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: 2017 12th IEEE international conference on automatic face & gesture recognition (FG 2017)

Reference 6

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Observation 09dc8e70-0ece-4c2c-89f8-8cec062b21d2 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 7

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Observation e693d22a-2b17-465a-ab5b-bcb7029a1e43 · outbound

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Unresolved cited work

Reference 8

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This paper cites International Journal of Computer Vision pp.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection International Journal of Computer Vision pp

Reference 9

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Observation 87c22846-f1b6-4079-a4ed-36b48cd44f56 · outbound

This paper cites In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Reference 10

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Observation f7345525-9c55-4189-9e81-35c4fd8c1d8f · outbound

This paper cites In: 2018 13th IEEE international conference on automatic face & gesture recognition (FG 2018).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: 2018 13th IEEE international conference on automatic face & gesture recognition (FG 2018)

Reference 11

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Observation 29587bfc-e594-4578-bf3e-11fc74a242f3 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations, ICLR 2023, Ki- gali, Rwanda, May 1-5, 2023.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: The Eleventh International Conference on Learning Representations, ICLR 2023, Ki- gali, Rwanda, May 1-5, 2023

Reference 12

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Observation 914e7e09-dbfc-446c-b565-9f441f925082 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 13

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Observation fd49f16d-ce38-412c-a92a-3efbe09c8cc3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 14

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Observation 2ca83753-f162-4695-9468-85178de38f70 · outbound

This paper cites In: AAAI.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: AAAI

Reference 15

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Observation 9d29fee6-2cd7-435c-b434-192c97afe169 · outbound

This paper cites In: 2016 international conference of the Biometrics Special Interest Group (BIOSIG).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: 2016 international conference of the Biometrics Special Interest Group (BIOSIG)

Reference 16

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Observation 430daea8-34c6-4995-8b65-c8a56e2bb16a · outbound

This paper cites In: International Conference on Learning Representations (2024).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: International Conference on Learning Representations (2024)

Reference 17

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Observation 732b1e60-4979-4fa3-86d9-c7c323935457 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: 2009 IEEE conference on computer vision and pattern recognition

Reference 18

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Observation f11c601a-7978-453d-8686-6ca0cd7af788 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

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This paper cites In: The Twelfth International Conference on Learning Repre- sentations, ICLR 2024, Vienna, Austria, May 7-11, 2024.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: The Twelfth International Conference on Learning Repre- sentations, ICLR 2024, Vienna, Austria, May 7-11, 2024

Reference 20

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Observation 6e81cd23-652a-4959-a76c-2c2d27f22409 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 21

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Observation 2f68f05f-ffca-4550-ac8c-53bd788c8ac4 · outbound

This paper cites In: IEEE/CVF WACV, Waikoloa, HI, USA, January 3-8, 2022.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: IEEE/CVF WACV, Waikoloa, HI, USA, January 3-8, 2022

Reference 22

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Observation fb9bc65f-b326-4f8a-b734-ab8a1a7520bd · outbound

This paper cites Pattern Recognit.123, 108398 (2022).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Pattern Recognit.123, 108398 (2022)

Reference 23

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Unresolved cited work

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Observation ad0ab9bc-7946-4fbc-8f24-abe2806351c4 · outbound

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Lorenz et al

Reference 27

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Observation b2029341-26a4-4263-8489-a32011cf6cba · outbound

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: 2019 international conference on biometrics (ICB)

Reference 28

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Unresolved cited work

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Unresolved cited work

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Observation 150c3ff9-d2d2-4218-8ca8-9d2705e75a2f · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 31

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Observation 1061df0d-e5e9-4103-9ca8-96eb0ef4e893 · outbound

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Iclr1(2), 3 (2022)

Reference 32

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This paper cites In: European conference on computer vision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: European conference on computer vision

Reference 33

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection 3: Testing and reporting (2017)

Reference 34

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LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: CVPR

Reference 35

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Observation ee282e1e-232c-4d1e-a268-9738c45b5f28 · outbound

This paper cites In: IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023

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Observation 837a0f30-1a11-4ad5-8264-1c826f844899 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 37

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Observation f728218c-e026-477f-87c7-59e7267da60c · outbound

This paper cites In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025 - Workshops, Tucson, AZ, USA, February 28 - March 4, 2025.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025 - Workshops, Tucson, AZ, USA, February 28 - March 4, 2025

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Observation c389172b-771d-4a00-8eed-47c3a324f794 · outbound

This paper cites WikiHow: A Large Scale Text Summarization Dataset.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection WikiHow: A Large Scale Text Summarization Dataset

Reference 39

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Observation bd350a38-7f67-462b-80c7-ee472ab2b15c · outbound

This paper cites In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

Reference 40

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Observation b3835888-e07d-4de7-9a55-2c2ad4a6b911 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection LLaVA-OneVision: Easy Visual Task Transfer

Reference 41

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Observation 56244b3b-cbf2-4e9d-84a8-1c3ac5f20bc4 · outbound

This paper cites IEEE Trans.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection IEEE Trans

Reference 42

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Observation f48766d7-357b-407c-b2ab-3c3292d4c519 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 43

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Observation 19702ecf-26c1-4d45-95df-521bc16b6bca · outbound

This paper cites In: Proceedings of the 33rd ACM International Conference on Multimedia.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the 33rd ACM International Conference on Multimedia

Reference 44

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Observation e2fec85e-d94f-4eb5-af25-0a9c66282bf6 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 45

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Observation 6311af34-a74e-421a-9dda-b87c6fcfe445 · outbound

This paper cites an unresolved cited work.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Unresolved cited work

Reference 46

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Observation e174d75c-1e35-4cad-ba4a-5bfdae7e8ed7 · outbound

This paper cites In: CVPR.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: CVPR

Reference 47

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Observation ca5a50b0-b4e9-44b0-bbbf-5a430727d443 · outbound

This paper cites In: ICME.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: ICME

Reference 48

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Observation 868e3028-2b12-45a0-a641-285fab589f04 · outbound

This paper cites In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Reference 49

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Observation 6eea7927-bb41-43c5-b483-bed5dac6903a · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection DINOv2: Learning Robust Visual Features without Supervision

Reference 50

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source=pdf_text observed=2026-08-14T04:18:21.309525Z digest=sha256:65d5e5fdd85dadcb63de50834e8d940eeb64aa5b12b5068ce9deb67c4a5a8eb9

Observation b84a350e-0ff5-44ff-8ca9-eb40aa0d86ff · outbound

This paper cites IEEE Transactions on Information Forensics and Security (2025).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection IEEE Transactions on Information Forensics and Security (2025)

Reference 51

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Observation 91a8a539-8be5-4b0c-8153-821555a03a77 · outbound

This paper cites In: Proceedings of the Winter Conference on Applications of Computer Vision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the Winter Conference on Applications of Computer Vision

Reference 52

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Observation 9c6cbb0e-acc1-44c2-95ab-31af915c6839 · outbound

This paper cites In: 2023 11th International Workshop on Biometrics and Forensics (IWBF).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: 2023 11th International Workshop on Biometrics and Forensics (IWBF)

Reference 53

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source=pdf_text observed=2026-08-14T04:18:21.444825Z digest=sha256:501d56a52f2aa23b3ea7db8e162f8f908eb25984424a8da6cc522226a64a3c8a

Observation 8cce3f07-ea1b-4773-96d6-b6ecd3b77ea9 · outbound

This paper cites IEEE transactions on information forensics and security11(10), 2268–2283 (2016).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection IEEE transactions on information forensics and security11(10), 2268–2283 (2016)

Reference 54

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Observation 8fffa10c-90f4-48c4-808b-84b959c58693 · outbound

This paper cites In: International conference on machine learning.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: International conference on machine learning

Reference 55

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Observation 6fa201cb-d653-43c7-8b63-6b652466ced5 · outbound

This paper cites In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A

Reference 56

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Observation 5825b984-265b-4100-ae79-13c5db6e4132 · outbound

This paper cites In: CVPR.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: CVPR

Reference 57

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Observation c8cad886-9ea4-4a59-9c24-25c23a4ab318 · outbound

This paper cites In: AAAI.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: AAAI

Reference 58

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Observation 18beb6fe-8522-4ea6-8480-a7f74de80550 · outbound

This paper cites DINOv3.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection DINOv3

Reference 59

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Observation db66e46c-5924-4c6a-a987-d5c0aa01639f · outbound

This paper cites In: Diaz, F., Shah, C., Suel, T., Castells, P., Jones, R., Sakai, T.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Diaz, F., Shah, C., Suel, T., Castells, P., Jones, R., Sakai, T

Reference 60

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Observation 9e412df7-10c1-42ff-a359-cd4ba55f46f2 · outbound

This paper cites an unresolved cited work.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-14T04:18:21.753799Z digest=sha256:fe8e0a246fcfd2064fd8197be063c648760793fa0c48ae864abc5a4c5c6c5fbf

Observation 4e82d596-a843-4ce1-929f-7e320d815005 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 62

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source=pdf_text observed=2026-08-14T04:18:21.794756Z digest=sha256:34ee7a0a7e52f9ceeaa45d76e6a5280b1b3f7000ca2c879052cf932110e638e2

Observation b9564f85-1ea9-44da-887d-e3491ad51c66 · outbound

This paper cites EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 63

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Observation ca1eac22-9555-4aba-afec-aa91637478e0 · outbound

This paper cites In: CVPR.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: CVPR

Reference 64

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Observation 4c5ace1b-3b30-4c51-81eb-58ea1637b0b5 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 65

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source=pdf_text observed=2026-08-14T04:18:21.901535Z digest=sha256:24c0987f55132a96e3b2ed48d2c310e20d0f1ecedf81b22766e71ab79cc87d3d

Observation afc1f1e8-b804-4bbc-b442-a950a4342396 · outbound

This paper cites an unresolved cited work.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Unresolved cited work

Reference 66

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source=pdf_text observed=2026-08-14T04:18:21.931594Z digest=sha256:b8969827534714c5f2bd924f526294790133e9e6e401b09ceefb9a06acd7ad3a

Observation c1d9b45f-aa69-4a33-8866-a32006a98fd5 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 67

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Observation 604e16d3-5cb8-4bb6-8ec9-3f14cfc40faf · outbound

This paper cites IEEE Trans.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection IEEE Trans

Reference 68

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source=pdf_text observed=2026-08-14T04:18:21.978209Z digest=sha256:dbf1cab8c90cb59b32d986300141c30eb102680f6b3d022d4e37daa8ef953afe

Observation b4c7bee8-605a-455f-87fa-04a476061d4e · outbound

This paper cites In: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

Reference 69

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source=pdf_text observed=2026-08-14T04:18:21.992867Z digest=sha256:696d7fa9fc4cd4f1bdda44c8575875db55d3ed9cbec73715449156f972254945

Observation 46346021-0b59-4681-ac87-301c87ee7936 · outbound

This paper cites IEEE Transactions on Information Forensics and Security10(4), 746–761 (2015).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection IEEE Transactions on Information Forensics and Security10(4), 746–761 (2015)

Reference 70

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source=pdf_text observed=2026-08-14T04:18:22.016465Z digest=sha256:73339008c22f38e2bbd1296412bee153e43910ddf509c1c72f1c0903bd7c72a9

Observation 8d9f8d24-d2b5-4cc1-80ab-8757dbc66fc6 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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source=pdf_text observed=2026-08-14T04:18:22.047861Z digest=sha256:b26d384227ac3b24e787a3ce7352489a40e35c6874b761473c81139bbedbd55a

Observation a14db527-5ae5-426a-8c4b-74a7f38a193a · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 72

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source=pdf_text observed=2026-08-14T04:18:22.059918Z digest=sha256:09eca1aeac843b8301cd0012e742dc92059ffb383e5f99c0ebc616f06fdcb75d

Observation e894ba94-c9e6-4524-a722-e1d762b37bcf · outbound

This paper cites IEEE Trans.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection IEEE Trans

Reference 73

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Unavailable: canonical work link unavailable.

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Observation a8569040-89ba-4eb0-87cb-30a2626ed5a5 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 74

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no resolver link, observed 2026-08-14T04:18:22.075366Z

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source=pdf_text observed=2026-08-14T04:18:22.075366Z digest=sha256:8d76679a0c3bb043245727a2cbb9214c3cfe7eb7400a0d257c8f02f88bec26ea

Observation c5cda48b-02c3-441b-b10b-f7a5eb1143d4 · outbound

This paper cites IEEE Trans.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection IEEE Trans

Reference 75

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no resolver link, observed 2026-08-14T04:18:22.102834Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:18:22.102834Z digest=sha256:333024eedb15fe1e0ff0c0ff88be88353cbad997f9ea677840f30818fc6de455

Observation 9f17b08a-2dbf-45bf-a18a-8daf0bed38d5 · outbound

This paper cites IEEE Trans.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection IEEE Trans

Reference 76

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no resolver link, observed 2026-08-14T04:18:22.154833Z

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source=pdf_text observed=2026-08-14T04:18:22.154833Z digest=sha256:6c67fd7d71ac67c89b908de8cf6ad1b965fb9adbafe32be0a2ff5573e1bfc21d

Observation 519219e3-ab99-4fb2-ae21-68b7342d6d6f · outbound

This paper cites In: CVPR.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: CVPR

Reference 77

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no resolver link, observed 2026-08-14T04:18:22.194810Z

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source=pdf_text observed=2026-08-14T04:18:22.194810Z digest=sha256:bd8732e4a44577a40e36550e0483d8f84174a15d16963393f9dc3e71f2962233

Observation 8bf668fd-1b09-4582-bc40-882e0812f7b3 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 78

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no resolver link, observed 2026-08-14T04:18:22.236501Z

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source=pdf_text observed=2026-08-14T04:18:22.236501Z digest=sha256:398b474446bee49333019a69d5c2214e3b1bf9a20e188e5a250d8acd72da0263

Observation a1fe23a1-4305-4901-b224-f752d170a0ec · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (2025).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the AAAI Conference on Artificial Intelligence (2025)

Reference 79

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no resolver link, observed 2026-08-14T04:18:22.275110Z

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source=pdf_text observed=2026-08-14T04:18:22.275110Z digest=sha256:10e425f1384d2e718ee28760ace5f87075df42502940b8dfc89dad0b473789ed

Observation 566d8a9c-f4c4-42e8-af51-eadc55d0c848 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 80

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no resolver link, observed 2026-08-14T04:18:22.354750Z

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source=pdf_text observed=2026-08-14T04:18:22.354750Z digest=sha256:c6916712dd6dc8011e67acdbde257677917668114fe0f215dc0fde3031ccbe65

Observation 0611c0ba-d795-414f-91ac-7d9f1657c1ee · outbound

This paper cites Lorenz et al.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection Lorenz et al

Reference 81

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no resolver link, observed 2026-08-14T04:18:22.414598Z

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source=pdf_text observed=2026-08-14T04:18:22.414598Z digest=sha256:d6f2f52d6dbc317f85355c799b17cdfa37da64be64fd0158d2857dec7a29313f

Observation 6b02223c-ac83-4428-9943-46fd2b90d609 · outbound

This paper cites In: European conference on computer vision.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection In: European conference on computer vision

Reference 82

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no resolver link, observed 2026-08-14T04:18:22.434113Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:18:22.434113Z digest=sha256:f921582d1749cd427662c04ba133124ddf3c64ab348a6d5dcedad67fd4492544

Pith citing papers

No inbound Pith citation observations are available.