ASL-OOD: Hierarchical Contextual Feature Fusion with Angle-Sensitive Loss for Oriented Object Detection
Detecting oriented targets in remote sensing images amidst complex and heterogeneous backgrounds remains a formidable challenge in the field of object detection. Current frameworks for oriented detection modules are constrain... | Find, read and cite all the research you need on Tech Science Press
Authors
- Yuqing Lin (ORCID: https://orcid.org/0009-0004-5948-1459)
- Xingye Han (ORCID: https://orcid.org/0000-0002-6822-2246)
- Kexin Wang (ORCID: https://orcid.org/0000-0003-2412-5433)
- Zhipeng Zhang (ORCID: https://orcid.org/0000-0003-0479-332X)
- Jiancheng Liu (ORCID: https://orcid.org/0009-0001-5759-5215)
- Tuo Wang (ORCID: https://orcid.org/0000-0003-2308-2419)
- Wanlong Qi
- Runyuan Wen
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-12-23
- DOI
- https://doi.org/10.32604/cmc.2024.058952
- Citations
- 1
- Primary Topic
- Advanced Image and Video Retrieval Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- Key Research and Development Projects of Shaanxi Province