no code implementations • 28 Apr 2024 • Yanbing Bai, Rui-Yang Ju, Siao Li, Zihao Yang, Jinze Yu
This paper proposes a deep learning-based system for detecting fishing activities.
no code implementations • 28 Apr 2024 • Yanbing Bai, Zihao Yang, Jinze Yu, Rui-Yang Ju, Bin Yang, Erick Mas, Shunichi Koshimura
This platform aims to enhance the efficiency of error analysis, a critical aspect of improving flood damage detection accuracy.
1 code implementation • 31 May 2022 • Zaishuo Xia, Zelin Li, Yanbing Bai, Jinze Yu, Bruno Adriano
In the field of post-disaster assessment, for timely and accurate rescue and localization after a disaster, people need to know the location of damaged buildings.
1 code implementation • 3 May 2022 • Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, JianXin Li, Kurt Keutzer, Shanghang Zhang
To solve this problem, we propose an end-to-end cross-domain detection Transformer based on the mean teacher framework, MTTrans, which can fully exploit unlabeled target domain data in object detection training and transfer knowledge between domains via pseudo labels.