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Browsing: scholar
Authors: Zhongliang Guo、Lei Fang、Jingyu Lin、Yifei Qian、Shuai Zhao、Zeyu Wang、Junhao Dong、Cunjian Chen、Ognjen Arandjelović、Chun Pong Lau Paper: https://arxiv.org/abs/2408.10901 Introduction The rapid advancements in…
Authors: Natchapon Jongwiriyanurak、Zichao Zeng、June Moh Goo、Xinglei Wang、Ilya Ilyankou、Kerkritt Srirrongvikrai、Meihui Wang、James Haworth Paper: https://arxiv.org/abs/2408.10872 Introduction Road traffic crashes are a significant…
Authors: Chiara Stuardi、Claudio Gheller、Franco Vazza、Andrea Botteon Paper: https://arxiv.org/abs/2408.10871 Radio U-Net: A Convolutional Neural Network to Detect Diffuse Radio Sources in…
Authors: Haozhe Ma、Zhengding Luo、Thanh Vinh Vo、Kuankuan Sima、Tze-Yun Leong Paper: https://arxiv.org/abs/2408.10858 Introduction Reinforcement learning (RL) has achieved remarkable success in various…
Authors: Zili Liu、Hao Chen、Lei Bai、Wenyuan Li、Wanli Ouyang、Zhengxia Zou、Zhenwei Shi Paper: https://arxiv.org/abs/2408.10854 Introduction In recent years, the increasing frequency and intensity…
Authors: Yuankun Xie、Chenxu Xiong、Xiaopeng Wang、Zhiyong Wang、Yi Lu、Xin Qi、Ruibo Fu、Yukun Liu、Zhengqi Wen、Jianhua Tao、Guanjun Li、Long Ye Paper: https://arxiv.org/abs/2408.10853 Evaluating the Effectiveness of…
Authors: Eito Ikuta、Yohan Lee、Akihiro Iohara、Yu Saito、Toshiyuki Tanaka Paper: https://arxiv.org/abs/2408.10846 Introduction In the realm of computer vision, image harmonization is a…
Authors: Julius Pesonen、Teemu Hakala、Väinö Karjalainen、Niko Koivumäki、Lauri Markelin、Anna-Maria Raita-Hakola、Juha Suomalainen、Ilkka Pölönen、Eija Honkavaara Paper: https://arxiv.org/abs/2408.10843 Introduction Background The increasing frequency and intensity…
Authors: Elia Bonetto、Aamir Ahmad Paper: https://arxiv.org/abs/2408.10831 Introduction In the realm of deep learning, the scarcity of labeled data in unconventional…
Authors: Rui Yang、Jiahao Zhu、Jianping Man、Li Fang、Yi Zhou Paper: https://arxiv.org/abs/2408.10819 Introduction Knowledge Graphs (KGs) are structured semantic knowledge bases that organize…