I'll be explaining the architecture and working of densenet (a little details about machine vision for beginners if possible), and then moving on towards it's application.
Abstract
History of visual object recognition neural networks (Lenet, Alexnet, ..., Densnet)
Comparing DenseNetwith other convolution networks
Remarking features of DenseNets
Use of wide residual networks strategy to improve speed and memory efficiency
Applications of DenseNet (classification, detection and segmentation)
