Evaluations of training paradigms in neural image captioning

Abstract

This project presents an implementation of 2 neural image captioning model which shall achieve results comparable to state of the art models. The 2 models are composed of different training paradigm, cross entropy training or self-critical training: • Model-1: Bottom-up attention with Self-Critical Training • Model-2: Bottom-up attention with cross entropy Training There will be a comparison and evaluation of the results against each model and related neural image captioning models to determine the best performing model.