基于联合递归特征金字塔的多尺度目标检测方法 Oct 29, 2022· Bing Han Weiming Chen , Xinbo Gao , Zheng Yang , Xiaoyue Huang · 1 min read 韩冰, 陈玮铭, 高新波, 杨铮, 黄晓悦. 基于联合递归特征金字塔的多尺度目标检测方法. 中国, 发明专利. 申请号: 202211339440.0, 申请日期: 2022年10月29日. Last updated on Oct 29, 2022 Deep Learning Computer Vision Object Detection Remote Sensing Authors Weiming Chen Ph.D. Student A self-driven, quick starter, passionate researcher with a curious mind who enjoys solving complex and challenging real-world computer vision problems. ← MSSDet: Multi-Scale Ship-Detection Framework in Optical Remote-Sensing Images and New Benchmark Oct 30, 2022 基于序列感知与特征增强的无人机视角目标跟踪方法 Sep 27, 2022 →