With wearing masks becoming a new cultural norm, facial expression recognition (FER)
while taking masks into account has become a significant challenge. In this paper, we …

This paper explores an automatic news generation and fact-checking system based on
language processing, aimed at enhancing the efficiency and quality of news production …

This study explores optimization strategies for self-supervised learning in the use of
unlabeled data. By deeply analyzing existing research, we propose a novel method that …

This paper introduces an implementation of scale invariant feature transform (SIFT)
algorithm with CUDA. Primary steps including building the Gaussian pyramid and the …

In this project, we present a novel approach to depth perception using a monocular camera
by incorporating information from both RGB and LiDAR modalities. Our primary objective is …

Natural language processing technology plays an important role in the era of big data,
provides a powerful support for data mining and information retrieval, this paper discusses …

This paper presents the Dual-Augmentor Framework for achieving domain-generalized 3D
human pose estimation. Domain generalization is a critical challenge in pose estimation due …

With the popularity of online social media and online review systems, Text sentiment
analysis has become a popular research hotspot in the field of natural language processing …

This paper introduces a novel Dual-Augmentor Strategy for enhancing the robustness of 3D
human pose estimation across diverse domains. Addressing the challenge of domain shift …

The aim of this paper is to explore the importance of textual sentiment detection in the field of
Natural Language Processing and to classify and detect sentiment through various machine …