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The Devil Is in the Details: An Efficient Convolutional Neural Network
  for Transport Mode Detection

The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection

16 September 2021
Hugues Moreau
A. Vassilev
Liming Chen
ArXiv (abs)PDFHTML

Papers citing "The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection"

2 / 2 papers shown
Title
Advancing Object Detection in Transportation with Multimodal Large
  Language Models (MLLMs): A Comprehensive Review and Empirical Testing
Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
Huthaifa I. Ashqar
Ahmed Jaber
Taqwa I. Alhadidi
Mohammed Elhenawy
137
9
0
26 Sep 2024
DeepStay: Stay Region Extraction from Location Trajectories using Weak
  Supervision
DeepStay: Stay Region Extraction from Location Trajectories using Weak Supervision
Christian Löwens
Daniela Thyssens
Emma Andersson
Christina Jenkins
Lars Schmidt-Thieme
31
0
0
05 Jun 2023
1