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Found 4 papers, 1 papers with code
Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms
Particularly, a random wheel masking strategy was utilized to finetune the previously learned representations in harmony with the wheel positional features during the training of the classifier.
Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification
Classification using supervised learning requires annotating a large amount of classes-balanced data for model training and testing.
Semi-supervised multiscale dual-encoding method for faulty traffic data detection
For comparison, the proposed architecture is evaluated against five different encoding schemes, including (1) VAE with only normal data encoding, (2) VAE with only faulty data encoding, (3) VAE with both normal and faulty data encodings, but without attention module in the classifier, (4) siamese encoding, and (5) cross-vision transformer (CViT) encoding.
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments
The proposed control strategy for the platoon considers energy consumption, mobility and passenger comfort, with which vehicles may pass signalized intersections with no stops.
