Corrections to “DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation”

IF 8.3 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2025-07-04 DOI:10.1109/TCSVT.2025.3575262

Fukun Yin;Zilong Huang;Tao Chen;Guozhong Luo;Gang Yu;Bin Fu

引用次数: 0

Abstract

Presents corrections to the paper, “DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation”.

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对“基于判别和高效特征聚合的大规模点云语义分割”的修正

对论文“DCNet：基于判别和高效特征聚合的大规模点云语义分割”进行了修正。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Circuits and Systems for Video Technology 工程技术-工程：电子与电气

CiteScore

13.80

自引率

27.40%

发文量

660

审稿时长

5 months

期刊介绍： The IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) is dedicated to covering all aspects of video technologies from a circuits and systems perspective. We encourage submissions of general, theoretical, and application-oriented papers related to image and video acquisition, representation, presentation, and display. Additionally, we welcome contributions in areas such as processing, filtering, and transforms; analysis and synthesis; learning and understanding; compression, transmission, communication, and networking; as well as storage, retrieval, indexing, and search. Furthermore, papers focusing on hardware and software design and implementation are highly valued. Join us in advancing the field of video technology through innovative research and insights.