Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, challenges related to GP
Conv, Convolutional layer; BN, Batch normalization layer; ReLU, Rectified linear units; LSTM, long-short-term-memory units. The table is divided into blocks corresponding to two streams of processing:
