Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering

Ruixue Tang; Chao Ma; Wei Emma Zhang; Qi Wu; Xiaokang Yang

doi:10.1007/978-3-030-58529-7_26

ScienceGate Book Chapters

BOOK-CHAPTER

Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering

Ruixue Tang Chao Ma Wei Emma Zhang Qi Wu Xiaokang Yang

Year: 2020 Lecture notes in computer science Pages: 437-453 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-58529-7_26

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Correctness Question answering Image (mathematics) Code (set theory) Adversarial system Artificial intelligence Meaning (existential) Deep learning Deep neural networks Rotation (mathematics) Information retrieval Natural language processing Programming language

Metrics

Cited By

4.12

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering

Metrics

Citation History

Topics

Related Documents

Data Augmentation for Visual Question Answering

Robust visual question answering via semantic cross modal augmentation

Rethinking Data Augmentation for Robust Visual Question Answering

LLM-Driven Data Augmentation for Visual Question Answering

Visual Question Answering Using Multimodal Data Augmentation for Hausa