March 12, 2024, 4:43 a.m. | Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.06534v1 Announce Type: cross
Abstract: Synthetic Aperture Radar (SAR) object detection has gained significant attention recently due to its irreplaceable all-weather imaging capabilities. However, this research field suffers from both limited public datasets (mostly comprising <2K images with only mono-category objects) and inaccessible source code. To tackle these challenges, we establish a new benchmark dataset and an open-source method for large-scale SAR object detection. Our dataset, SARDet-100K, is a result of intense surveying, collecting, and standardizing 10 existing SAR detection …

arxiv benchmark cs.ai cs.ce cs.cv cs.lg detection object scale toolkit type

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