Paper Citation Record · LEDGER

Visual Modality Prompt for Adapting Vision-Language Object Detectors

As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2412.00622.

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

pith.paper-citation-record.v1
2412.00622 v2

Coverage vector

measured 56 of 56 reference resolution

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:27:41.333932Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation 1a167833-5801-41e8-8b56-083c57f186d2 · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Exploring Visual Prompts for Adapting Large-Scale Models

Reference 1

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Observation 6fca56ee-a54d-4c6a-8b8e-d89335892ef6 · outbound

This paper cites Zero-shot object detection.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Zero-shot object detection

Reference 2

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Observation 840ae565-9265-4906-8987-7ccfecfc9ccd · outbound

This paper cites A systematic literature review on object detection using near infrared and thermal images.

Visual Modality Prompt for Adapting Vision-Language Object Detectors A systematic literature review on object detection using near infrared and thermal images

Reference 3

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Observation 095d2fb8-baf9-40a2-967a-64c0c81c31a0 · outbound

This paper cites Multimodal object detection by channel switching and spatial attention.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Multimodal object detection by channel switching and spatial attention

Reference 4

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Observation d4fd734f-ce10-4f19-8d11-55a4c90b169b · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Visual Modality Prompt for Adapting Vision-Language Object Detectors MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 5

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Observation 1c495f39-6dbc-450c-a721-74e228b975d5 · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Yolo-world: Real-time open-vocabulary object detection

Reference 6

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Observation e3fac7cd-91ee-4457-9875-6bd37c11ecbb · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Visual Modality Prompt for Adapting Vision-Language Object Detectors BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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Observation 5e86fe4f-a111-4e82-9606-52ea2f79e351 · outbound

This paper cites Privacy-preserving person detection using low-resolution infrared cameras.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Privacy-preserving person detection using low-resolution infrared cameras

Reference 8

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Observation 4a41182c-f8d0-46e9-ba77-10b1502ced32 · outbound

This paper cites Multimodal deep learning for robust rgb-d object recognition.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Multimodal deep learning for robust rgb-d object recognition

Reference 9

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Observation 0660f560-94c3-4928-aeae-883dd16cdc53 · outbound

This paper cites Tood: Task-aligned one-stage object detec- tion.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Tood: Task-aligned one-stage object detec- tion

Reference 10

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Observation a1f1076c-6eda-4b51-b22f-786bc0cbcacc · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Clip-adapter: Better vision-language models with feature adapters

Reference 11

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Observation da194059-8a97-4f64-a5d1-24a3ad54dddd · outbound

This paper cites Generative adversarial nets.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Generative adversarial nets

Reference 12

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Observation 225828cf-b3e3-44f4-9d96-34c7faa66649 · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 13

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Observation 4d90fa25-4ccf-48a0-b996-2ebae8562ed7 · outbound

This paper cites Deep residual learning for image recognition.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Deep residual learning for image recognition

Reference 14

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This paper cites Cnn- based thermal infrared person detection by domain adapta- tion.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Cnn- based thermal infrared person detection by domain adapta- tion

Reference 15

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Observation 6d486159-7bd9-4c47-a84c-5c2b691f2c04 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Visual Modality Prompt for Adapting Vision-Language Object Detectors MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 16

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Observation b1d9d204-f1cf-49f8-bcb8-33b4860a11ff · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Image-to-image translation with conditional adver- sarial networks

Reference 17

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Observation 0417fcb2-0601-4b50-bfa0-bf93f472e162 · outbound

This paper cites Multimodal computer vision framework for human assistive robotics.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Multimodal computer vision framework for human assistive robotics

Reference 18

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Observation cc36ed3b-85fb-4de4-9a56-96cad4b77ca7 · outbound

This paper cites Vi- sual prompt tuning.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Vi- sual prompt tuning

Reference 19

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Observation a583c228-cd9d-4fd7-9fe8-ef01cbc51566 · outbound

This paper cites Ultralyt- ics yolov8.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Ultralyt- ics yolov8

Reference 20

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This paper cites Mdetr – mod- ulated detection for end-to-end multi-modal understanding,.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Mdetr – mod- ulated detection for end-to-end multi-modal understanding,

Reference 21

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Observation 775e8f50-b2e9-45d3-bc9a-62181c9a2d15 · outbound

This paper cites Auto-encoding varia- tional bayes, 2022.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Auto-encoding varia- tional bayes, 2022

Reference 22

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Observation 21101b2f-d61c-4005-b3f4-ec6bc0aa0138 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning, 2021.

Visual Modality Prompt for Adapting Vision-Language Object Detectors The power of scale for parameter-efficient prompt tuning, 2021

Reference 23

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Observation 435e7c0b-06a7-4da0-b69d-9fde29cf566c · outbound

This paper cites Grounded language-image pre-training.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Grounded language-image pre-training

Reference 24

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This paper cites Yolo-firi: Improved yolov5 for infrared image object detection.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Yolo-firi: Improved yolov5 for infrared image object detection

Reference 25

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This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion

Reference 26

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Observation b6de8078-fbeb-4780-a43e-f89e47cb20e2 · outbound

This paper cites Learning Object-Language Alignments for Open-Vocabulary Object Detection.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Learning Object-Language Alignments for Open-Vocabulary Object Detection

Reference 27

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Observation ccd5248c-08cc-4eb4-a6e6-2f4ad8c3b1f5 · outbound

This paper cites Microsoft coco: Common objects in context.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Microsoft coco: Common objects in context

Reference 28

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This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 29

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Swin transformer: Hierarchical vision transformer using shifted windows

Reference 30

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Observation 1c7c6a05-b942-41e1-a9a6-6598a8cc9b88 · outbound

This paper cites Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge

Reference 31

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This paper cites MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection.

Visual Modality Prompt for Adapting Vision-Language Object Detectors MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection

Reference 32

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Observation bb4f3a5d-53ab-4410-9a56-58a7f29a66c5 · outbound

This paper cites Hallucidet: Hallucinating rgb modality for person de- tection through privileged information.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Hallucidet: Hallucinating rgb modality for person de- tection through privileged information

Reference 33

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Observation a9375eb4-5963-42e8-804e-db5ebc2dc2f3 · outbound

This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 34

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This paper cites Infragan: A gan ar- chitecture to transfer visible images to infrared domain.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Infragan: A gan ar- chitecture to transfer visible images to infrared domain

Reference 35

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This paper cites Image-to-image translation: Methods and applications,.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Image-to-image translation: Methods and applications,

Reference 36

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This paper cites Deep learning in robotics: a review of recent research.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Deep learning in robotics: a review of recent research

Reference 37

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

Visual Modality Prompt for Adapting Vision-Language Object Detectors Learning transferable visual models from natural language supervi- sion

Reference 38

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This paper cites A review on object detection in unmanned aerial vehicle surveillance.

Visual Modality Prompt for Adapting Vision-Language Object Detectors A review on object detection in unmanned aerial vehicle surveillance

Reference 39

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This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Visual Modality Prompt for Adapting Vision-Language Object Detectors U- net: Convolutional networks for biomedical image segmen- tation

Reference 40

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Visual Modality Prompt for Adapting Vision-Language Object Detectors Objects365: A large-scale, high-quality dataset for object detection

Reference 41

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Visual Modality Prompt for Adapting Vision-Language Object Detectors Indoor segmentation and support inference from rgbd images

Reference 42

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Visual Modality Prompt for Adapting Vision-Language Object Detectors Machine learning, social learning and the gov- ernance of self-driving cars

Reference 43

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This paper cites Improving rgb-infrared object detec- tion by reducing cross-modality redundancy.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Improving rgb-infrared object detec- tion by reducing cross-modality redundancy

Reference 44

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Visual Modality Prompt for Adapting Vision-Language Object Detectors Multi-modal deep feature learning for rgb-d object detection

Reference 45

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This paper cites Deepinteraction: 3d object detection via modality interaction.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Deepinteraction: 3d object detection via modality interaction

Reference 46

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This paper cites Task residual for tuning vision-language models.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Task residual for tuning vision-language models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:14:08.069362Z

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This paper cites Open-vocabulary detr with conditional matching.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Open-vocabulary detr with conditional matching

Reference 48

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This paper cites Multispectral fusion for object detection with cyclic fuse-and-refine blocks.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Multispectral fusion for object detection with cyclic fuse-and-refine blocks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:14:08.048694Z

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Observation debd8d31-5710-40de-84a3-4d4ee334a89f · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Visual Modality Prompt for Adapting Vision-Language Object Detectors DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 50

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This paper cites Glipv2: Unifying localiza- tion and vision-language understanding.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Glipv2: Unifying localiza- tion and vision-language understanding

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:14:08.038118Z

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This paper cites Regionclip: Region- based language-image pretraining.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Regionclip: Region- based language-image pretraining

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:14:08.026724Z

Source-reported events for the cited work

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Observation dbeaa7aa-83ee-4adc-854b-7f2e90212277 · outbound

This paper cites Conditional prompt learning for vision-language mod- els.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Conditional prompt learning for vision-language mod- els

Reference 53

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

Visual Modality Prompt for Adapting Vision-Language Object Detectors Learning to prompt for vision-language models

Reference 54

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This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 55

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This paper cites Object detection in 20 years: A survey.Proceed- ings of the IEEE, 111(3):257–276, 2023.

Visual Modality Prompt for Adapting Vision-Language Object Detectors Object detection in 20 years: A survey.Proceed- ings of the IEEE, 111(3):257–276, 2023

Reference 56

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Pith citing papers

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VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors cites this paper.

VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors Visual Modality Prompt for Adapting Vision-Language Object Detectors

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