Cross-Dataset Adaptation for Visual Question Answering

Cross-Dataset Adaptation for Visual Question Answering

10 June 2018

Wei-Lun Chao

Papers citing "Cross-Dataset Adaptation for Visual Question Answering"

10 / 10 papers shown

Title
VideoDistill: Language-aware Vision Distillation for Video Question Answering Bo Zou Chao Yang Yu Qiao Chengbin Quan Youjian Zhao VGen 39 1 0 01 Apr 2024
Modularized Zero-shot VQA with Pre-trained Models Rui Cao Jing Jiang LRM 19 2 0 27 May 2023
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning Zhuowan Li Xingrui Wang Elias Stengel-Eskin Adam Kortylewski Wufei Ma Benjamin Van Durme Max Planck Institute for Informatics OOD LRM 19 56 0 01 Dec 2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering Yao Zhang Haokun Chen A. Frikha Yezi Yang Denis Krompass Gengyuan Zhang Jindong Gu Volker Tresp VLM LRM 13 7 0 19 Nov 2022
All You May Need for VQA are Image Captions Soravit Changpinyo Doron Kukliansky Idan Szpektor Xi Chen Nan Ding Radu Soricut 30 70 0 04 May 2022
Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding Arjun Reddy Akula OOD 19 3 0 24 Jan 2022
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering Jihyung Kil Cheng Zhang D. Xuan Wei-Lun Chao 53 20 0 13 Sep 2021
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering Aishwarya Agrawal Dhruv Batra Devi Parikh Aniruddha Kembhavi OOD 51 581 0 01 Dec 2017
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 144 1,464 0 06 Jun 2016
A Testbed for Cross-Dataset Analysis Tatiana Tommasi Tinne Tuytelaars Barbara Caputo 160 96 0 24 Feb 2014