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Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours

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.gitignore

.gitignore

 
 

NCEAverage.py

NCEAverage.py

 
 

NCECriterion.py

NCECriterion.py

 
 

README.md

README.md

 
 

dataset.py

dataset.py

 
 

dataset_test.py

dataset_test.py

 
 

downSampling_test.py

downSampling_test.py

 
 

downsampling_arg.py

downsampling_arg.py

 
 

downsampling_dataset_test.py

downsampling_dataset_test.py

 
 

downsampling_fusion.py

downsampling_fusion.py

 
 

downsampling_temporal_transforms.py

downsampling_temporal_transforms.py

 
 

downsampling_test.py

downsampling_test.py

 
 

loss.py

loss.py

 
 

model.py

model.py

 
 

resnet.py

resnet.py

 
 

spatial_transforms.py

spatial_transforms.py

 
 

temporal_transforms.py

temporal_transforms.py

 
 

testdad.py

testdad.py

 
 

train.py

train.py

 
 

utils.py

utils.py

 
 

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Modified Supervised-Contrastive-Learning-for-Detecting-Anomalous-Driving-Behaviours

PyTorch Implementation of Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours

Citation Policy - If you use this code, then please cite our corresponding paper as follows: "Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours", Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, and Ali Abedi.

clip.1.mp4

Requirments

  • Python3
  • torch=1.7.1
  • sklearn=0.23.2
  • pandas=1.2.1
  • numpy=1.20.1

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