Florent Perronnin

Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture

Fisher Vectors (FV) and Convolutional Neural Networks (CNN) are two image classification pipelines with different strengths. While CNNs have shown superior accuracy on a number of classification tasks, FV classifiers are typically less costly to train and evaluate. We propose a hybrid architecture t…