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Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding

Autor: Nguyen-Truong, Hai, Nguyen, E-Ro, Vu, Tuan-Anh, Tran, Minh-Triet, Hua, Binh-Son, Yeung, Sai-Kit

Referring image segmentation is a challenging task that involves generating pixel-wise segmentation masks based on natural language descriptions. The complexity of this task increases with the intricacy of the sentences provided. Existing methods hav

Externí odkaz: http://arxiv.org/abs/2404.08590

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MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding

Autor: Ha, Tan-Sang, Nguyen-Truong, Hai, Vu, Tuan-Anh, Yeung, Sai-Kit

Building a video retrieval system that is robust and reliable, especially for the marine environment, is a challenging task due to several factors such as dealing with massive amounts of dense and repetitive data, occlusion, blurriness, low lighting

Externí odkaz: http://arxiv.org/abs/2306.04593

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Akademický článek

EVALUATING THE IMPACT OF LEARNING ACTIVITIES ON QUIZ SUBMISSION IN LEARNING MANAGEMENT SYSTEM (LMS)

Autor: Thai Chuong, Truong Hai Bang, Nguyen Thi Uyen, Nguyen Cong Thanh, Tran Xuan Sang

Publikováno v: Tạp chí Khoa học, Vol 53, Iss 3C, Pp 60-71 (2024)

With the rise of educational technology, the trend of online learning is gradually becoming popular. Quiz submissions are a crucial assessment activity on Learning Management Systems (LMS). This study investigates the factors influencing student qui

Externí odkaz: https://doaj.org/article/bfe8d3a4bf1c4bbc9f8b4bb4a79bd0df

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1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Autor: Kiefer, Benjamin, Kristan, Matej, Perš, Janez, Žust, Lojze, Poiesi, Fabio, Andrade, Fabio Augusto de Alcantara, Bernardino, Alexandre, Dawkins, Matthew, Raitoharju, Jenni, Quan, Yitong, Atmaca, Adem, Höfer, Timon, Zhang, Qiming, Xu, Yufei, Zhang, Jing, Tao, Dacheng, Sommer, Lars, Spraul, Raphael, Zhao, Hangyue, Zhang, Hongpu, Zhao, Yanyun, Augustin, Jan Lukas, Jeon, Eui-ik, Lee, Impyeong, Zedda, Luca, Loddo, Andrea, Di Ruberto, Cecilia, Verma, Sagar, Gupta, Siddharth, Muralidhara, Shishir, Hegde, Niharika, Xing, Daitao, Evangeliou, Nikolaos, Tzes, Anthony, Bartl, Vojtěch, Špaňhel, Jakub, Herout, Adam, Bhowmik, Neelanjan, Breckon, Toby P., Kundargi, Shivanand, Anvekar, Tejas, Desai, Chaitra, Tabib, Ramesh Ashok, Mudengudi, Uma, Vats, Arpita, Song, Yang, Liu, Delong, Li, Yonglin, Li, Shuman, Tan, Chenhao, Lan, Long, Somers, Vladimir, De Vleeschouwer, Christophe, Alahi, Alexandre, Huang, Hsiang-Wei, Yang, Cheng-Yen, Hwang, Jenq-Neng, Kim, Pyong-Kun, Kim, Kwangju, Lee, Kyoungoh, Jiang, Shuai, Li, Haiwen, Ziqiang, Zheng, Vu, Tuan-Anh, Nguyen-Truong, Hai, Yeung, Sai-Kit, Jia, Zhuang, Yang, Sophia, Hsu, Chih-Chung, Hou, Xiu-Yu, Jhang, Yu-An, Yang, Simon, Yang, Mau-Tsuen

The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritim

Externí odkaz: http://arxiv.org/abs/2211.13508

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SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation

Autor: Pham, Quan-Dung, Nguyen-Truong, Hai, Phuong, Nam Nguyen, Nguyen, Khoa N. A.

Publikováno v: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

Current research on deep learning for medical image segmentation exposes their limitations in learning either global semantic information or local contextual information. To tackle these issues, a novel network named SegTransVAE is proposed in this p

Externí odkaz: http://arxiv.org/abs/2201.08582

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