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Automatic Rail Component Detection Based on AttnConv-Net
The automatic detection of major rail components using railway images is beneficial to ensure the rail transport safety.
Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
Most existing vision-based approaches focus on the detection of frontal intrusion objects with prior labels, such as categories and locations of the objects.
Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based Classifiers
Being an emerging class of in-memory computing architecture, brain-inspired hyperdimensional computing (HDC) mimics brain cognition and leverages random hypervectors (i. e., vectors with a dimensionality of thousands or even more) to represent features and to perform classification tasks.
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