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Knowledge graphs meet multi-modal learning: A comprehensive survey
Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
From image to language: A critical analysis of visual question answering (vqa) approaches, challenges, and opportunities
The multimodal task of Visual Question Answering (VQA) encompassing elements of
Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers …
Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers …
Egoschema: A diagnostic benchmark for very long-form video language understanding
We introduce EgoSchema, a very long-form video question-answering dataset, and
benchmark to evaluate long video understanding capabilities of modern vision and …
benchmark to evaluate long video understanding capabilities of modern vision and …
A-okvqa: A benchmark for visual question answering using world knowledge
Abstract The Visual Question Answering (VQA) task aspires to provide a meaningful testbed
for the development of AI models that can jointly reason over visual and natural language …
for the development of AI models that can jointly reason over visual and natural language …
Mmbench-video: A long-form multi-shot benchmark for holistic video understanding
The advent of large vision-language models (LVLMs) has spurred research into their
applications in multi-modal contexts, particularly in video understanding. Traditional …
applications in multi-modal contexts, particularly in video understanding. Traditional …
Zero-shot video question answering via frozen bidirectional language models
Video question answering (VideoQA) is a complex task that requires diverse multi-modal
data for training. Manual annotation of question and answers for videos, however, is tedious …
data for training. Manual annotation of question and answers for videos, however, is tedious …
Just ask: Learning to answer questions from millions of narrated videos
Recent methods for visual question answering rely on large-scale annotated datasets.
Manual annotation of questions and answers for videos, however, is tedious, expensive and …
Manual annotation of questions and answers for videos, however, is tedious, expensive and …
Revive: Regional visual representation matters in knowledge-based visual question answering
This paper revisits visual representation in knowledge-based visual question answering
(VQA) and demonstrates that using regional information in a better way can significantly …
(VQA) and demonstrates that using regional information in a better way can significantly …
Video question answering: Datasets, algorithms and challenges
Video Question Answering (VideoQA) aims to answer natural language questions according
to the given videos. It has earned increasing attention with recent research trends in joint …
to the given videos. It has earned increasing attention with recent research trends in joint …
Avqa: A dataset for audio-visual question answering on videos
Audio-visual question answering aims to answer questions regarding both audio and visual
modalities in a given video, and has drawn increasing research interest in recent years …
modalities in a given video, and has drawn increasing research interest in recent years …