Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

In the era of sustainable smart agriculture, a vast amount of agricultural news text is posted
online, accumulating significant agricultural knowledge. To efficiently access this …

Abstract Aspect-based Sentiment Analysis (ABSA) is a crucial natural language
understanding (NLU) research field which aims to accurately recognize reviewers' opinions …

Abstract Knowledge Graph Question Answering (KGQA) aims to answer user-questions from
a knowledge graph (KG) by identifying the reasoning relations between topic entity and …

With the development of the e-commerce platform, more and more reviews of its various
formats continue to appear. Reviews help people buy the right item faster, and instead …

Despite recent progress in deep learning, underwater object detection remains a challenge
where noisy and imprecise images are provided as sources of supervision. This paper …

Expression-level information extraction is a challenging task in natural language processing
(NLP), which aims to retrieve crucial semantic information from linguistic documents …

Efficient real-time object detection on edge devices, CPUs, GPU clusters and cloud GPUs is
still a very challenging problem due to factors such as computational power, storage …

Within the area of environmental perception, automatic navigation, object detection, and
computer vision are crucial and demanding fields with many applications in modern …

Facial expression detection from images and videos has recently gained attention due to the
wide variety of applications it has found in the field of computer vision such as advanced …