O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable
Video Captioning

O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning

5 August 2021

Xuancheng Ren

Papers citing "O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning"

6 / 6 papers shown

Title
GL-RG: Global-Local Representation Granularity for Video Captioning Liqi Yan Qifan Wang Yiming Cui Fuli Feng Xiaojun Quan X. Zhang Dongfang Liu 19 59 0 22 May 2022
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics David M. Chan Austin Myers Sudheendra Vijayanarasimhan David A. Ross Bryan Seybold John F. Canny 18 6 0 12 May 2022
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation Yongchang Hao Shilin He Wenxiang Jiao Zhaopeng Tu Michael Lyu Xing Wang 87 28 0 24 Oct 2020
Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network Bairui Wang Lin Ma Wei Zhang Wenhao Jiang Jingwen Wang Wei Liu 63 158 0 27 Aug 2019
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions Fenglin Liu Xuancheng Ren Yuanxin Liu Houfeng Wang Xu Sun 88 65 0 27 Aug 2018
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning Jiasen Lu Caiming Xiong Devi Parikh R. Socher 83 1,440 0 06 Dec 2016