Show and Tell: A Neural Image Caption Generator

By Z. Peng, Yu Dai, Qi Tang, Xiangen Cui, Shu-min Guo. 2018

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Captioning Images with Diverse Objects (2016, background): “A woman is sitting on a bench in front of a building.”
Re-evaluating Automatic Metrics for Image Captioning (2016, background): “In the challenge, the recent deep models outperform the human upper bound according to automatic measures, yet they could not beat the humans when the subjective human judgements are considered.”
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017, unknown): “Both Vinyals et al. (2015) and Karpathy and Fei-Fei (2016) used DCNNs for image classification and RNNs for sequence modeling and combined them into a unified network, which they used to generate English-language descriptions of images.”
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text (2016, background): “Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1961–1966, Austin, Texas, November 1-5, 2016. c©2016 Association for Computational Linguistics”