Discovering the Unknown Knowns: Turning Implicit Knowledge in the
Dataset into Explicit Training Examples for Visual Question Answering

Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering

13 September 2021

Wei-Lun Chao

Papers citing "Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering"

7 / 7 papers shown

Title
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation Daowan Peng Wei Wei 127 0 0 10 Jan 2025
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner Zikang Liu Sihan Chen Longteng Guo Handong Li Xingjian He J. Liu 13 1 0 19 May 2023
All You May Need for VQA are Image Captions Soravit Changpinyo Doron Kukliansky Idan Szpektor Xi Chen Nan Ding Radu Soricut 32 70 0 04 May 2022
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection Cheng Zhang Tai-Yu Pan Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao ObjD VLM 69 39 0 17 Feb 2021
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies Itai Gat Idan Schwartz A. Schwing Tamir Hazan 53 89 0 21 Oct 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 154 290 0 14 Mar 2020
Explainable and Explicit Visual Reasoning over Scene Graphs Jiaxin Shi Hanwang Zhang Juan-Zi Li OCL 160 230 0 05 Dec 2018