Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Efficientnet.
input images, ConvNets can potentially capture more fine-grained patterns. Higher resolutions improve accuracy, but the accuracy gain diminishes for very high resolutions. 2. Compound Scaling Intuitively, for higher resolution images, increasing network depth obtains the larger receptive fields