PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection | Paper Citation Record

Observation fa8bb83e-79b9-4802-a445-299e89da7889 · outbound

This paper cites Driver distraction detection based on lightweight networks and tiny object detection,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Driver distraction detection based on lightweight networks and tiny object detection,

Reference 1

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Observation 8a564006-0b12-466f-863f-eb1aa155a01f · outbound

This paper cites An intelligent network framework for driver distraction monitoring based on res- se-cnn,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection An intelligent network framework for driver distraction monitoring based on res- se-cnn,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:44.831096Z

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Observation e3b8b7e7-9000-48f8-88ce-f46db4e8ac27 · outbound

This paper cites Training convolutional neural networks with class based data augmentation for detecting distracted drivers,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Training convolutional neural networks with class based data augmentation for detecting distracted drivers,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:44.617828Z

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Observation 856c2ac7-26ee-4c9a-b1b2-4e7b93df2dea · outbound

This paper cites Analysis of traffic accident causes based on data augmentation and ensemble learning with high-dimensional small-sample data,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Analysis of traffic accident causes based on data augmentation and ensemble learning with high-dimensional small-sample data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:44.399071Z

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Observation 9b471016-7dbc-4935-a19c-391b4877dcd0 · outbound

This paper cites A transfer learning approach for identification of distracted driving,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection A transfer learning approach for identification of distracted driving,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:44.211213Z

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Observation e65857a2-028d-4c15-a43d-3fd852ea62b7 · outbound

This paper cites A data augmen- tation approach to distracted driving detection,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection A data augmen- tation approach to distracted driving detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:44.038172Z

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Observation fb47be6b-ed95-495d-ac42-56d8a8a6c5b3 · outbound

This paper cites Vision-language models can identify distracted driver behavior from naturalistic videos,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Vision-language models can identify distracted driver behavior from naturalistic videos,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:43.819309Z

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Observation 8205dce3-e98a-4094-9b07-d6667fc1e27a · outbound

This paper cites Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:32.665814Z

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Observation 5c97962b-17ce-4b17-8689-cb659cbfe6e3 · outbound

This paper cites Cogvlm: Visual expert for pretrained language models,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Cogvlm: Visual expert for pretrained language models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:43.592228Z

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Observation 7f4d948b-7046-4780-af5b-67ecd58742ed · outbound

This paper cites A review of research on driving distraction based on bibliometrics and co-occurrence: Focus on driving distraction recognition methods,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection A review of research on driving distraction based on bibliometrics and co-occurrence: Focus on driving distraction recognition methods,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:43.360859Z

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Observation f50fbeb8-b17e-4549-aff5-4e063f369854 · outbound

This paper cites Studying the effects of driver distraction and traffic density on the probability of crash and near-crash events in naturalistic driving environment,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Studying the effects of driver distraction and traffic density on the probability of crash and near-crash events in naturalistic driving environment,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:43.187361Z

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Observation 8a78b712-cf7f-41ab-ad8d-d49adba0cfae · outbound

This paper cites Driver distracted be- havior detection technology with yolo-based deep learn- ing networks,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Driver distracted be- havior detection technology with yolo-based deep learn- ing networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:43.018467Z

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Observation 59fefcaf-eb70-49d1-b8ec-dc918588357b · outbound

This paper cites Distracted driver detection using convolutional neural networks based segmentation model,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Distracted driver detection using convolutional neural networks based segmentation model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:42.793343Z

Source-reported events for the cited work

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Observation f8992775-0467-4df2-9938-c8673fd0e5c0 · outbound

This paper cites Distracted driver detection based on a cnn with decreasing filter size,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Distracted driver detection based on a cnn with decreasing filter size,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:42.582162Z

Source-reported events for the cited work

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Observation 0abbd82f-2532-44fe-a5e7-e7406264089e · outbound

This paper cites Cat-capsnet: A convolutional and attention based capsule network to detect the driver’s distraction,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Cat-capsnet: A convolutional and attention based capsule network to detect the driver’s distraction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:42.371207Z

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Observation de00618e-1d5c-4dd3-b83c-fa4d018d08d0 · outbound

This paper cites Using naturalistic driving data to assess the prevalence of environmental factors and driver behaviors in teen driver crashes,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Using naturalistic driving data to assess the prevalence of environmental factors and driver behaviors in teen driver crashes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:42.185380Z

Source-reported events for the cited work

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Observation e3e34fdf-8634-4e25-aa9b-66b2903b138f · outbound

This paper cites Driver distraction behavior detection using a vision transformer model based on transfer learning strategy,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Driver distraction behavior detection using a vision transformer model based on transfer learning strategy,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:41.992902Z

Source-reported events for the cited work

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Observation 6edd973a-bf10-4999-90fd-a51e432c521f · outbound

This paper cites A lightweight and efficient distracted driver detection model fusing convolutional neural network and vision trans- former,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection A lightweight and efficient distracted driver detection model fusing convolutional neural network and vision trans- former,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:41.783845Z

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Observation e64b2e41-3c58-40c7-ad1c-ebcab7df8f3f · outbound

This paper cites Birswint: Bilinear full- scale residual swin-transformer for fine-grained driver behavior recognition,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Birswint: Bilinear full- scale residual swin-transformer for fine-grained driver behavior recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:41.589255Z

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Observation 266d986f-4d14-4409-a594-a9435b3a3a10 · outbound

This paper cites Conditional Generative Adversarial Nets.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Conditional Generative Adversarial Nets

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:33.744126Z

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Observation f4f10c58-7c73-483b-a57f-6882a820baa6 · outbound

This paper cites Deformable gans for pose-based human image gen- eration,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Deformable gans for pose-based human image gen- eration,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:41.387850Z

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Observation 42d61995-3cd2-4681-9a96-f33f3d0929a7 · outbound

This paper cites Adain-based tunable cyclegan for efficient unsupervised low-dose ct denoising,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Adain-based tunable cyclegan for efficient unsupervised low-dose ct denoising,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:41.212775Z

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Observation 57469f6a-51d2-4d6a-8690-a1ea624ad195 · outbound

This paper cites Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:33.952580Z

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Observation 8831aab2-3281-4483-baef-32891744420a · outbound

This paper cites IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:34.021842Z

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Observation 0f28f773-f9a0-462e-b0bf-e559a232f5f2 · outbound

This paper cites Imagharmony: Controllable image editing with consistent object quantity and layout,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Imagharmony: Controllable image editing with consistent object quantity and layout,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:34.110816Z

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Observation f7b5be19-ee86-4a22-8456-32e5eb7dcc95 · outbound

This paper cites Person image synthesis via denoising diffusion model,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Person image synthesis via denoising diffusion model,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:40.925920Z

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Observation 428aa7ec-3ae4-4174-9a52-f933bf3f47c4 · outbound

This paper cites Multimodal garment designer: Human-centric latent diffusion models for fash- ion image editing,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Multimodal garment designer: Human-centric latent diffusion models for fash- ion image editing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:40.729258Z

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Observation 5a4ee9a3-1c41-469e-bcc5-0756d3ad23ae · outbound

This paper cites Advancing pose-guided image synthesis with progressive conditional diffusion models,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Advancing pose-guided image synthesis with progressive conditional diffusion models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:40.469030Z

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Observation 19cfaf31-92ee-4cee-89f4-fd275b1c212f · outbound

This paper cites Humansd: A native skeleton-guided diffusion model for human image generation,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Humansd: A native skeleton-guided diffusion model for human image generation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:39.834556Z

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Observation 2d9f823a-c230-4be7-b52b-93a632e5964d · outbound

This paper cites Imagpose: A unified conditional framework for pose-guided person generation,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Imagpose: A unified conditional framework for pose-guided person generation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:39.433053Z

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Observation 596f5543-05de-4f46-acf2-3460498161bd · outbound

This paper cites Imagdressing-v1: Customizable virtual dressing,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Imagdressing-v1: Customizable virtual dressing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:39.214963Z

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Observation f7770de6-3323-4e41-9d51-438c1dbfbea9 · outbound

This paper cites Boosting consistency in story visualization with rich-contextual conditional diffusion models,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Boosting consistency in story visualization with rich-contextual conditional diffusion models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:38.991462Z

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Observation 67385c41-e4ce-4dda-a18f-3c5f05c89c83 · outbound

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

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection DINOv2: Learning Robust Visual Features without Supervision

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:34.955300Z

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Observation 63ca07e1-e1c3-4eb6-b162-fadaaec3b1c0 · outbound

This paper cites Deep residual learning for image recognition,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Deep residual learning for image recognition,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:35.042895Z

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Observation 0a95ee88-1563-4bb8-b6f5-55933bedefef · outbound

This paper cites Searching for mobilenetv3,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Searching for mobilenetv3,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:38.660928Z

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Observation 5258aa5e-de04-4543-8116-cbbdd53945cd · outbound

This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:35.180705Z

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Observation c6fc8351-9c58-45c0-b2c6-828dc78e78a4 · outbound

This paper cites Fastvit: A fast hybrid vision transformer using structural reparameterization,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Fastvit: A fast hybrid vision transformer using structural reparameterization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:38.367675Z

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Observation 2bd9cc35-af93-41fa-813e-f28a82e5519b · outbound

This paper cites A convnet for the 2020s,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection A convnet for the 2020s,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:35.308447Z

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Observation 6ae1c3ec-bb82-4dca-9712-325e01119bdf · outbound

This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Inception-v4, inception-resnet and the impact of residual connections on learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:38.049862Z

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Observation 982f922c-301d-4357-9905-bb834f51877b · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convo- lutions,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Pyramid vision transformer: A versatile backbone for dense prediction without convo- lutions,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:37.576151Z

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Observation 806a7abf-b288-4139-934a-af527bde40aa · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:35.507337Z

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Observation a9e28b28-d6c1-4e08-bc15-2d7fa40134fb · outbound

This paper cites Manifold mixup: Better representations by interpolating hidden states,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Manifold mixup: Better representations by interpolating hidden states,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:37.174528Z

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Observation 5652b135-2bef-49dd-af96-e6f384c9caa8 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection mixup: Beyond Empirical Risk Minimization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:35.632422Z

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Observation 772bb909-4c59-4c66-be5d-56ab92f46c4f · outbound

This paper cites Cutmix: Regularization strategy to train strong classi- fiers with localizable features,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Cutmix: Regularization strategy to train strong classi- fiers with localizable features,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:36.971161Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 104ece71-fdb4-4e2b-8d64-c9cde49db8c2 · outbound

This paper cites Pixmix: Dreamlike pictures comprehensively improve safety measures,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Pixmix: Dreamlike pictures comprehensively improve safety measures,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:36.869753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8749cdb0-acab-40a5-9f1d-6079d8583727 · outbound

This paper cites Puzzle mix: Exploiting saliency and local statistics for optimal mixup,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Puzzle mix: Exploiting saliency and local statistics for optimal mixup,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:36.781460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1356036f-404d-459f-aad8-4d768eab9a85 · outbound

This paper cites Guidedmixup: an efficient mixup strategy guided by saliency maps,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Guidedmixup: an efficient mixup strategy guided by saliency maps,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:36.683032Z

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Observation 0f4914f2-12f9-4e47-be8f-dc03c8b90d63 · outbound

This paper cites Adding con- ditional control to text-to-image diffusion models,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Adding con- ditional control to text-to-image diffusion models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:36.598084Z

Source-reported events for the cited work

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Observation 1921f82c-6617-4f4a-819a-90f576f3b9e2 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:36.096517Z

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Observation ce87a7a3-340e-4138-92a2-95a4f62049a6 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models,.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:36.514176Z

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Observation c47b4d98-7504-4fea-9378-b92ff453e7d6 · outbound

This paper cites Available: https://openreview.net/forum? id=rHzapPnCgT.

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection Available: https://openreview.net/forum? id=rHzapPnCgT

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:40.102022Z

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