Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia

21 September 2022

Papers citing "Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia"

7 / 7 papers shown

Title
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights Shunqi Mao Chaoyi Zhang Hang Su Hwanjun Song Igor Shalyminov Weidong Cai 16 1 0 16 Jul 2024
MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing Jiaqi Li Miaozeng Du Chuanyi Zhang Yongrui Chen Nan Hu Guilin Qi Haiyun Jiang Siyuan Cheng Bo Tian 8 14 0 18 Feb 2024
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning Krishna Srinivasan K. Raman Jiecao Chen Michael Bendersky Marc Najork VLM 181 307 0 02 Mar 2021
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network Jiayi Ji Yunpeng Luo Xiaoshuai Sun Fuhai Chen Gen Luo Yongjian Wu Yue Gao Rongrong Ji ViT 35 163 0 13 Dec 2020
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 254 1,893 0 10 Jan 2017
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning Jiasen Lu Caiming Xiong Devi Parikh R. Socher 78 443 0 06 Dec 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016