A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …
everywhere because of its ability to analyze and create text, images, and beyond. With such …
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 …
Multi-modal knowledge graph construction and application: A survey
Recent years have witnessed the resurgence of knowledge engineering which is featured
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
Text with knowledge graph augmented transformer for video captioning
Video captioning aims to describe the content of videos using natural language. Although
significant progress has been made, there is still much room to improve the performance for …
significant progress has been made, there is still much room to improve the performance for …
Contrastive language-image pre-training with knowledge graphs
Recent years have witnessed the fast development of large-scale pre-training frameworks
that can extract multi-modal representations in a unified form and achieve promising …
that can extract multi-modal representations in a unified form and achieve promising …
Ei-clip: Entity-aware interventional contrastive learning for e-commerce cross-modal retrieval
Abstract recommendation, and marketing services. Extensive efforts have been made to
conquer the cross-modal retrieval problem in the general domain. When it comes to E …
conquer the cross-modal retrieval problem in the general domain. When it comes to E …
Multi-modal knowledge hypergraph for diverse image retrieval
Y Zeng, Q Jin, T Bao, W Li - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
The task of keyword-based diverse image retrieval has received considerable attention due
to its wide demand in real-world scenarios. Existing methods either rely on a multi-stage re …
to its wide demand in real-world scenarios. Existing methods either rely on a multi-stage re …
Image captioning based on scene graphs: A survey
J Jia, X Ding, S Pang, X Gao, X Xin, R Hu… - Expert Systems with …, 2023 - Elsevier
Although recent developments in deep learning have brought several tasks closer to human
performance, there is still a significant gap between human and machine performance in …
performance, there is still a significant gap between human and machine performance in …
MMEL: a joint learning framework for multi-mention entity linking
C Yang, B He, Y Wu, C Xing, L He… - Uncertainty in Artificial …, 2023 - proceedings.mlr.press
Entity linking, bridging mentions in the contexts with their corresponding entities in the
knowledge bases, has attracted wide attention due to many potential applications. Recently …
knowledge bases, has attracted wide attention due to many potential applications. Recently …
Neural entity alignment with cross-modal supervision
The majority of currently available entity alignment (EA) solutions primarily rely on structural
information to align entities, which is biased and disregards additional multi-source …
information to align entities, which is biased and disregards additional multi-source …