23 citations · 57 across the 6 of their papers we have counts for
6 papers
CATCH: A Modular Cross-domain Adaptive Template with Hook
Xinjin Li, Yulie Lu, Jinghan Cao +3
Recent advances in Visual Question Answering (VQA) have demonstrated impressive performance in natural image domains, with models like LLaVA leveraging large language models (LLMs)…
Rhyme-aware Chinese lyric generator based on GPT
Yixiao Yuan, Yangchen Huang, Yu Ma +4
Neural language representation models such as GPT, pre-trained on large-scale corpora, can effectively capture rich semantic patterns from plain text and be fine-tuned to consisten…
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology
Jingyu Zhang, Jin Cao, Jinghao Chang +3
This research aims to explore the application of deep learning in autonomous driving computer vision technology and its impact on improving system performance. By using advanced te…
Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation
Zhenglin Li, Bo Guan, Yuanzhou Wei +3
Generative Adversarial Networks (GANs) have significantly advanced image processing, with Pix2Pix being a notable framework for image-to-image translation. This paper explores a no…
Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm
Yuhong Mo, Hao Qin, Yushan Dong +2
In this paper, a tool for detecting LLM AI text generation is developed based on the Transformer model, aiming to improve the accuracy of AI text generation detection and provide r…
Advanced Feature Manipulation for Enhanced Change Detection Leveraging Natural Language Models
Zhenglin Li, Yangchen Huang, Mengran Zhu +3
Change detection is a fundamental task in computer vision that processes a bi-temporal image pair to differentiate between semantically altered and unaltered regions. Large languag…