YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family | Paper Citation Record

Observation 7fd81cf2-355c-450b-b6c4-c17bb750a664 · outbound

This paper cites Conv-Adapter: Exploring parameter efficient transfer learning for ConvNets.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Conv-Adapter: Exploring parameter efficient transfer learning for ConvNets

Reference 1

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Observation b7b0b5c4-3b0a-4306-86bf-cd538027a3e0 · outbound

This paper cites AdaptFormer: Adapting vision transformers for scalable visual recognition.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family AdaptFormer: Adapting vision transformers for scalable visual recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.966697Z

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Observation ec5ad49d-7855-4a8d-82e0-9fe56368c5f5 · outbound

This paper cites VFM-Adapter: Adapting visual foundation models for dense prediction with dynamic hybrid operation mapping.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family VFM-Adapter: Adapting visual foundation models for dense prediction with dynamic hybrid operation mapping

Reference 3

Resolution: verified exact; doi, observed 2026-08-10T15:46:57.748061Z

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Observation cdfab4fe-66cc-4430-9c94-2763aa95da4f · outbound

This paper cites YOLO-World: Real-time open-vocabulary object detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family YOLO-World: Real-time open-vocabulary object detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.954747Z

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Observation 8044b9fe-1faf-4da5-ad9e-e833a340327e · outbound

This paper cites an unresolved cited work.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:46:58.943254Z

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Observation e4ac5446-9124-46c6-98d6-272705f6c329 · outbound

This paper cites Lightweight modular parameter-efficient tuning for open- vocabulary object detection, 2024.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Lightweight modular parameter-efficient tuning for open- vocabulary object detection, 2024

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-10T15:46:58.639359Z

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Observation 8258cbbd-bc32-4367-bb57-de72f687319d · outbound

This paper cites Pet-dino: Unifying visual cues into grounding dino with prompt-enriched training.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Pet-dino: Unifying visual cues into grounding dino with prompt-enriched training

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.932417Z

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Observation ac75490f-300b-4a19-8ed8-317d53cd54ab · outbound

This paper cites Multi-point positional insertion tuning for small object detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Multi-point positional insertion tuning for small object detection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.508125Z

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Observation 61f08371-65bd-4b0b-9312-d17564f8aab6 · outbound

This paper cites Parameter-efficient fine-tuning for large models: A comprehensive survey, 2024.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Parameter-efficient fine-tuning for large models: A comprehensive survey, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.511954Z

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Observation 1bea402a-ced3-4ba1-b786-4ecbc5fe0f1a · outbound

This paper cites Sensitivity-aware visual parameter- efficient fine-tuning.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Sensitivity-aware visual parameter- efficient fine-tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.515665Z

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Observation 7dce1696-1164-410c-ab6f-067e96c94f08 · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Towards a unified view of parameter-efficient transfer learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.914497Z

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Observation 4f720edb-7483-4f83-8a92-cfd4cbd02f94 · outbound

This paper cites Parameter-efficient model adaptation for vision transformers.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Parameter-efficient model adaptation for vision transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.523503Z

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Observation aa737aee-4f2a-4b34-b00e-642ed8c62cc9 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.527185Z

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Observation bbd7bd53-53e4-4e64-af42-ac3848c78e6c · outbound

This paper cites Visual prompt tuning.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Visual prompt tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.530494Z

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Observation c9453281-3e0e-4459-ad74-0d3e38808c62 · outbound

This paper cites Convolutional Bypasses Are Better Vision Transformer Adapters.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.533891Z

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Observation 9a35da8c-39cd-4bea-b07a-b5ae51b1dc28 · outbound

This paper cites YOLOv8 by Ultralytics.https://github.com/ultralytics/ult ralytics, 2023.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family YOLOv8 by Ultralytics.https://github.com/ultralytics/ult ralytics, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.889440Z

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Observation faf423af-9aad-4a34-b862-bb3f9459f643 · outbound

This paper cites YOLO11 by Ultralytics.https://github.com/ultralytics/ult ralytics, 2024.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family YOLO11 by Ultralytics.https://github.com/ultralytics/ult ralytics, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.878776Z

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Observation a23f1a56-aa86-4232-815c-49a189f78ee3 · outbound

This paper cites DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:58.413712Z

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Observation 0684c226-c7fc-4db3-8254-cc91b5ab84d0 · outbound

This paper cites Lors: Low-rank residual structure for parameter-efficient network stacking.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Lors: Low-rank residual structure for parameter-efficient network stacking

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.867190Z

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Observation c7d37367-e3f0-4f4f-86c9-4ecff920e6fe · outbound

This paper cites Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.856407Z

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Observation 722a0cba-007e-4655-900b-4abbb69d7475 · outbound

This paper cites Scaling & shifting your features: A new baseline for efficient model tuning.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Scaling & shifting your features: A new baseline for efficient model tuning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.844323Z

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Observation 210afeb7-484b-4e03-a34c-3eabb801d236 · outbound

This paper cites YOLO-Master: MOE-accelerated real-time detection,.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family YOLO-Master: MOE-accelerated real-time detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.832491Z

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Observation beb0fd47-95c7-4a7d-8846-ef8aa3b04268 · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.821301Z

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Observation 8b50a3e1-bad8-46a3-9d08-f249ef70214b · outbound

This paper cites DoRA: Weight-decomposed low-rank adaptation.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family DoRA: Weight-decomposed low-rank adaptation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.809611Z

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Observation ca6a0bfb-e844-45d2-af23-4fec985102c3 · outbound

This paper cites RT-DETR: DETRs beat YOLOs on real-time object detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family RT-DETR: DETRs beat YOLOs on real-time object detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.799007Z

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Observation 8b948945-f128-43cf-9bf4-9a57710498f6 · outbound

This paper cites PEFT: State-of-the-art parameter-efficient fine-tuning methods.https://github.com/huggingface/peft, 2022.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family PEFT: State-of-the-art parameter-efficient fine-tuning methods.https://github.com/huggingface/peft, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.787456Z

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Observation 6e3425e4-873d-47a0-b9e0-1b9d2e251bd7 · outbound

This paper cites an unresolved cited work.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Unresolved cited work

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-10T15:46:58.397257Z

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Observation 2a7edd9a-9824-4103-a9ea-a58659e30cf1 · outbound

This paper cites Pro-Tuning: Unified prompt tuning for vision tasks.IEEE Transactions on Circuits and Systems for Video Technology, 34(6):4653–4667, 2024.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Pro-Tuning: Unified prompt tuning for vision tasks.IEEE Transactions on Circuits and Systems for Video Technology, 34(6):4653–4667, 2024

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.580359Z

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Observation 087354f4-539e-4475-801f-c732bb1ff7cd · outbound

This paper cites an unresolved cited work.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Unresolved cited work

Reference 29

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T15:46:58.245065Z

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Observation f6f13083-a669-4b6f-b61c-071e7f30f7bb · outbound

This paper cites Learning multiple visual domains with residual adapters.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Learning multiple visual domains with residual adapters

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.774735Z

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Observation c27e9d64-2f8d-4e4c-8ccf-1d5e25ec6071 · outbound

This paper cites VL-Adapter: Parameter-efficient transfer learning for vision- and-language tasks.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family VL-Adapter: Parameter-efficient transfer learning for vision- and-language tasks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.590453Z

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Observation 81f569d4-07e7-4fe3-a008-c93cf34f8af6 · outbound

This paper cites Analyzing the impact of low-rank adaptation for cross-domain few-shot object detection in aerial images,.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Analyzing the impact of low-rank adaptation for cross-domain few-shot object detection in aerial images,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.762209Z

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Observation aeac759d-b996-4dc1-8e8c-9e3cb8e623fe · outbound

This paper cites YOLOv12: Attention-centric real-time object detectors.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family YOLOv12: Attention-centric real-time object detectors

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.749161Z

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Observation e8240926-81bc-4598-b69e-01e61be8d5bf · outbound

This paper cites Source-free domain adaptation for YOLO object detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Source-free domain adaptation for YOLO object detection

Reference 34

Resolution: verified exact; doi, observed 2026-08-10T15:46:57.728376Z

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Observation 99ac453e-cbd3-4082-b09c-6b2395adc864 · outbound

This paper cites SIA-OVD: Shape-invariant adapter for bridging the image-region gap in open-vocabulary detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family SIA-OVD: Shape-invariant adapter for bridging the image-region gap in open-vocabulary detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.608926Z

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Observation 3b74855b-0d7b-48a4-bd92-3197e2492a99 · outbound

This paper cites CoPEFT: Fast adaptation framework for multi-agent collaborative perception with parameter-efficient fine-tuning.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family CoPEFT: Fast adaptation framework for multi-agent collaborative perception with parameter-efficient fine-tuning

Reference 36

Resolution: verified exact; doi, observed 2026-08-10T15:46:57.717506Z

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Observation cb553a85-624a-4d3a-9844-e79970331118 · outbound

This paper cites DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:57.999317Z

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Observation f9885765-c1ff-4fd8-810b-38eff77cf08a · outbound

This paper cites VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:57.984036Z

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Observation c6bfef6c-8644-4c4f-9256-75a4174f81b1 · outbound

This paper cites Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:57.968422Z

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Observation 68f1d6e2-44c2-43dd-b02f-45e1a16661ab · outbound

This paper cites Component-coordinated and uncertainty-enhanced LoRA for few-shot source-free domain adaptive object detection.Neurocomputing, 650:130787, 2025.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Component-coordinated and uncertainty-enhanced LoRA for few-shot source-free domain adaptive object detection.Neurocomputing, 650:130787, 2025

Reference 40

Resolution: verified exact; doi, observed 2026-08-10T15:46:57.706060Z

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Observation 9953f0be-147e-4ee2-b3e5-2803a7adbdb0 · outbound

This paper cites SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:57.952792Z

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Observation 9b37bfa9-c751-4bba-8a87-9cac60417e60 · outbound

This paper cites 1% vs 100%: Parameter- efficient low rank adapter for dense predictions.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family 1% vs 100%: Parameter- efficient low rank adapter for dense predictions

Reference 42

Resolution: verified exact; doi, observed 2026-08-10T15:46:57.694190Z

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Observation 577167bf-83f5-4f4d-8ded-e14713bf7bd3 · outbound

This paper cites Parameter-efficient is not sufficient: Exploring parameter, memory, and time efficient adapter tuning for dense predictions.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Parameter-efficient is not sufficient: Exploring parameter, memory, and time efficient adapter tuning for dense predictions

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:57.639321Z

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Observation fac99aaa-ae80-4878-ae37-36c48df1a948 · outbound

This paper cites Bridging the gap between low-rank and orthogonal adaptation via householder reflection adaptation.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Bridging the gap between low-rank and orthogonal adaptation via householder reflection adaptation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.735521Z

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Observation d5bc6080-019f-40c5-b487-69163b57373a · outbound

This paper cites REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:57.872405Z

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Observation 507efd67-1691-4af7-9640-cfe0639558e6 · outbound

This paper cites AdaLoRA: Adaptive budget allocation for parameter-efficient fine-tuning.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family AdaLoRA: Adaptive budget allocation for parameter-efficient fine-tuning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.724375Z

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Observation 8210115c-e7ba-439b-80f2-ff23d1464f85 · outbound

This paper cites YOLO- IOD: Towards real time incremental object detection.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family YOLO- IOD: Towards real time incremental object detection

Reference 47

Resolution: verified exact; raw_fallback, observed 2026-08-10T15:46:57.858268Z

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Observation 7dde0863-7124-4326-893e-efa82af6086a · outbound

This paper cites SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:57.763461Z

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Observation 3511723a-c3b9-4564-b8a1-58d0aa40f734 · outbound

This paper cites AutoPEFT: Automatic configuration search for parameter-efficient fine-tuning.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family AutoPEFT: Automatic configuration search for parameter-efficient fine-tuning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:46:58.711009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea1780f7-6b3a-4398-a1bc-a356d3c6a75c · outbound

This paper cites Analyzing the Impact of Low-Rank Adaptation for Cross-Domain Few-Shot Object Detection in Aerial Images.

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family Analyzing the Impact of Low-Rank Adaptation for Cross-Domain Few-Shot Object Detection in Aerial Images

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:58.089434Z

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