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ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver
Distraction Detection

v1v2v3v4 (latest)

ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection

19 September 2022

ArXiv (abs)PDF HTML

Papers citing "ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection"

6 / 6 papers shown

PoseViNet: Distracted Driver Action Recognition Framework Using
Multi-View Pose Estimation and Vision Transformer

PoseViNet: Distracted Driver Action Recognition Framework Using Multi-View Pose Estimation and Vision Transformer

189

4

0

22 Dec 2023

A Survey on Multimodal Large Language Models for Autonomous Driving

A Survey on Multimodal Large Language Models for Autonomous Driving

Wenqian Ye

...

404

479

0

21 Nov 2023

Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision

Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing SupervisionIEEE Transactions on Intelligent Vehicles (TIV), 2023

430

7

0

08 Oct 2023

Mitigating Transformer Overconfidence via Lipschitz Regularization

Mitigating Transformer Overconfidence via Lipschitz RegularizationConference on Uncertainty in Artificial Intelligence (UAI), 2023

Wenqian Ye

237

19

0

12 Jun 2023

CEMFormer: Learning to Predict Driver Intentions from In-Cabin and
External Cameras via Spatial-Temporal Transformers

CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers

Wenqian Ye

196

19

0

13 May 2023

M$^2$DAR: Multi-View Multi-Scale Driver Action Recognition with Vision
Transformer

^2

DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer

262

17

0

13 May 2023

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