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Found 3 papers, 2 papers with code
Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification
However, due to the limitation of computing power, deep learning algorithms are usually not available on mobile devices.
Ranked #4 on
Image Classification
on SVHN
(Percentage correct metric)
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions
This proves that Transformer has a good prospect in the field of image recognition.
Ranked #9 on
Image Classification
on CIFAR-10
(Parameters metric)
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
However, this compression method may result in a decrease in the model accuracy and an increase in the parameters and model size.
Ranked #5 on
Image Classification
on SVHN
(Percentage correct metric)
