Cross|Media Learning for Visual Question Answering

IMAVIS | Cross-Media Learning for Visual Question Answering

Visual Question Answering (VQA) is a recent hot topic which involves multimedia analysis, computer vision (CV), natural language processing ...

Special Issue on the Cross-Media Analysis for Visual Question ...

Given an image (or a video clip) and a question in natural language, VQA requires grounding textural concepts to visual elements to infer the correct answer.

Cross-Dataset Adaptation for Visual Question Answering

There, the authors study the bias in image datasets for object recog- nition. They have showed that the idiosyncrasies in the data collection process cause ...

VTQA: Visual Text Question Answering via Entity Alignment ... - arXiv

Computer Science > Computer Vision and Pattern Recognition · Title:VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media ...

Cross-Media Learning for Visual Question Answering (VQA)

Visual Question Answering (VQA) is a recent hot topic which involves multimedia analysis, computer vision (CV), natural language processing (NLP), ...

Editorial to special issue on cross-media learning for visual question ...

PDF | On Dec 1, 2021, Shaohua Wan and others published Editorial to special issue on cross-media learning for visual question answering ...

Unveiling Cross Modality Bias in Visual Question Answering - arXiv

We accompany our method with an explain-away strategy, pushing the accuracy of the questions with numerical answers results compared to existing ...

Introduction to the Special Issue on the Cross-Media Analysis for ...

Introduction to the Special Issue on the Cross-Media Analysis for Visual Question Answering · Contents. ACM Transactions on Multimedia Computing, Communications, ...

Cross-Media Learning for Visual Question Answering (VQA)

Cross-Media Learning for Visual Question Answering (VQA) · Special Issue Information · Special Issue Call for Papers · Closed Special Issues.

Cross-modal Relational Reasoning Network for Visual Question ...

Abstract: Visual Question Answering (VQA) is a challenging task that requires a cross-modal understanding of images and questions with relational reasoning ...

Cross-Modal Feature Distribution Calibration for Few-Shot Visual ...

Few-shot Visual Question Answering (VQA) realizes few-shot cross-modal learning, which is an emerging and challenging task in computer vision.

Bridging the Cross-Modality Semantic Gap in Visual Question ...

Abstract: The objective of visual question answering (VQA) is to adequately comprehend a question and identify relevant contents in an image ...

Robust visual question answering via semantic cross modal ...

Vision-language models, specialised for answering visual questions, are a type of multi-modal model specifically trained to infer from vision and text inputs ...

Visual Question Answering Dataset for Bilingual Image Understanding

As another contribution, we propose a cross-lingual method for making use of English annotation to improve a Japanese VQA system. The proposed method is based ...

Generative Visual Question Answering using Cross-Modal Visual ...

In VQA, given a question and image pair, the machine learning system needs to select an answer for the question based on information presented in the image [2].

xGQA: Cross-Lingual Visual Question Answering - Semantic Scholar

Recent advances in multimodal vision and language modeling have predominantly focused on the English language, mostly due to the lack of multilingual ...

Cross-Modal Generative Augmentation for Visual Question Answering

Multimodal machine learning is a multidisciplinary field combining language, vision, and speech processing to address a multitude of tasks [5, 6, 34, 36, 49].

Zero-Shot Cross-Lingual Visual Question Answering on xGQA

Zero-Shot Cross-Lingual Visual Question Answering on xGQA ; 5. TD-MML (finetuned on English-only data). 35.95. Multilingual Multimodal Learning with Machine ...

Cross-Modal Self-Supervised Vision Language Pre-training with ...

Medical Visual Question Answering (VQA) is a task that aims to provide answers to questions about medical images, which utilizes both visual ...

[PDF] Cross-Dataset Adaptation for Visual Question Answering

This work proposes a novel domain adaptation algorithm for cross-dataset adaptation for visual question answering that reduces the ...