no code implementations • 24 Jan 2024 • Shoujie Li, Ran Yu, Tong Wu, JunWen Zhong, Xiao-Ping Zhang, Wenbo Ding
In this work, we propose a framework named GExp, which enables robots to explore and learn autonomously without human intervention.
1 code implementation • 17 Feb 2023 • Elena Demidova, Alishiba Dsouza, Simon Gottschalk, Nicolas Tempelmeier, Ran Yu
Geographic data plays an essential role in various Web, Semantic Web and machine learning applications.
1 code implementation • 11 Oct 2022 • Yong liu, Ran Yu, Jiahao Wang, Xinyuan Zhao, Yitong Wang, Yansong Tang, Yujiu Yang
Besides, we empirically find low frequency feature should be enhanced in encoder (backbone) while high frequency for decoder (segmentation head).
1 code implementation • 16 Jul 2022 • Yong liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang
However, they mainly focus on better matching between the current frame and the memory frames without explicitly paying attention to the quality of the memory.
Ranked #11 on Semi-Supervised Video Object Segmentation on DAVIS 2016 (using extra training data)
no code implementations • 4 Jul 2022 • Ran Yu, Limock, Stefan Dietze
Web search is among the most frequent online activities.
no code implementations • 7 Jan 2022 • Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, Yvonne Kammerer, Ralph Ewerth
The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems.
no code implementations • 21 Sep 2021 • Alishiba Dsouza, Nicolas Tempelmeier, Ran Yu, Simon Gottschalk, Elena Demidova
We describe the WorldKG knowledge graph, including its ontology that builds the semantic dataset backbone, the extraction procedure of the ontology and geographic entities from OpenStreetMap, and the methods to enhance entity annotation.
1 code implementation • 16 Aug 2021 • Ran Yu, Chenyu Tian, Weihao Xia, Xinyuan Zhao, Haoqian Wang, Yujiu Yang
To alleviate this problem, we propose a mechanism named Inner Center Sampling to improve the accuracy of instance segmentation.
1 code implementation • 22 Jul 2021 • Chenyu Tian, Ran Yu, Xinyuan Zhao, Weihao Xia, Haoqian Wang, Yujiu Yang
This simple framework achieves an unprecedented speed and a competitive accuracy on the COCO benchmark compared with state-of-the-art methods.
no code implementations • 11 Jun 2021 • Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth
Related work in this field, also called search as learning, has focused on behavioral or text resource features to predict learning outcome and knowledge gain.
1 code implementation • 25 Jun 2020 • Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze
Publicly available social media archives facilitate research in the social sciences and provide corpora for training and testing a wide range of machine learning and natural language processing methods.