… mainly focusing on the deep-learning-based papers on image captioning. The main aim of
… of deep learning for image captioning. First, we group the existing image captioning articles …

… been devoted to image captioning, ie describing … image captioning has not reached a
conclusive answer yet. This work aims at providing a comprehensive overview of image captioning …

… image captioning in various different domains. However, still, there is room for the machine
to … After training the Deep Learning network for image captioning to evaluate its performance …

… neural network (RNN) can yield promising results. In this work, we propose novel architectures
to the problem of image captioning. … embeddings are encoded using bidirectional Long-…

… review of deep learning methods in image captioning by presenting … image captioning
research, as well as the evaluation metrics used to assess the performance of diferent captioning …

… Secondly, as we will show in our results for image captioning, RNNs tend to produce lower
… If learning is stalled, for larger datasets than the ones we currently use for image captioning, …

… researchers working in image captioning using various deep learning techniques. The
exponential increase in deep learning application drives progress in the image captioning field, …

… CS-231n is a deep learning class by Andrej on computer-vision with deep neural network
… This research paper is used on the image captioning using inception model architecture of …

… Retrieval and template based Methods utilizing Neural Networks Using deep neural networks
we can also do image captioning. The problems of embedding and ranking can be solved …

… on image captioning is heavily focused on deep-learning techniques, and for a good reason.
Image captioning is … along with deep reinforcement and adversarial learning, appear to be …