OTA: Optimal Transport Assignment for Object Detection
Impact in
Classified as
- Authors
- Zheng GeSongtao LiuZeming LiOsamu YoshieJian Sun
In The Last Decade
doi.org/10.1109/cvpr46437.2021.00037 →Countries where authors are citing OTA: Optimal Transport Assignment for Object Detection
This map shows the geographic impact of OTA: Optimal Transport Assignment for Object Detection. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by OTA: Optimal Transport Assignment for Object Detection with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites OTA: Optimal Transport Assignment for Object Detection more than expected).
Fields of papers citing OTA: Optimal Transport Assignment for Object Detection
This network shows the impact of OTA: Optimal Transport Assignment for Object Detection. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the OTA: Optimal Transport Assignment for Object Detection.
About OTA: Optimal Transport Assignment for Object Detection
This paper, published in 2021, received 367 indexed citations . Written by Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie and Jian Sun covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (281 citations), Artificial Intelligence (89 citations), Aerospace Engineering (58 citations), Media Technology (44 citations) and Industrial and Manufacturing Engineering (36 citations).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1109/cvpr46437.2021.00037.