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Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision
v1v2v3v4 (latest)

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

8 October 2023
Cong Duan
Zixuan Liu
Jiahao Xia
Minghai Zhang
Jiacai Liao
Libo Cao
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Title
Cross-Camera Distracted Driver Classification through Feature Disentanglement and Contrastive Learning
Cross-Camera Distracted Driver Classification through Feature Disentanglement and Contrastive Learning
Simone Bianco
Luigi Celona
Paolo Napoletano
115
0
0
20 Nov 2024
Toward Extremely Lightweight Distracted Driver Recognition With
  Distillation-Based Neural Architecture Search and Knowledge Transfer
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
Dichao Liu
T. Yamasaki
Yu Wang
K. Mase
Jien Kato
92
28
0
09 Feb 2023
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver
  Behaviour Understanding
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding
Alina Roitberg
Kunyu Peng
Zdravko Marinov
C. Seibold
David Schneider
Rainer Stiefelhagen
110
19
0
10 Apr 2022
TransDARC: Transformer-based Driver Activity Recognition with Latent
  Space Feature Calibration
TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration
Kunyu Peng
Alina Roitberg
Kailun Yang
Jiaming Zhang
Rainer Stiefelhagen
ViT
85
34
0
02 Mar 2022
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep
  Network for Image Recognition
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition
Asish Bera
Zachary Wharton
Yonghuai Liu
Nikolaos Bessis
Ardhendu Behera
98
43
0
23 Oct 2021
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
310
331
0
16 Jan 2021
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal
  Approach
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach
Neslihan Köse
Okan Kopuklu
A. Unnervik
Gerhard Rigoll
70
40
0
18 Jul 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
258
1,962
0
06 Jun 2019
Driver Distraction Identification with an Ensemble of Convolutional
  Neural Networks
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
Hesham M. Eraqi
Yehya Abouelnaga
M. H. Saad
Mohamed Moustafa
70
235
0
22 Jan 2019
Real-time Distracted Driver Posture Classification
Real-time Distracted Driver Posture Classification
Yehya Abouelnaga
Hesham M. Eraqi
Mohamed Moustafa
53
206
0
28 Jun 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
646
20,292
0
07 Oct 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.5K
150,708
0
22 Dec 2014
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