Feature Map Compression for Video Coding for Machines Based on Receptive Block Based Principal Component Analysis
This paper presents a method to effectively compress the intermediate layer feature map of a convolutional neural network for the potential structures of Video Coding for Machines, which is an emerging technology for future machine consumption applications.Notably, most extant studies compress a single feature map and hence cannot entirely consider