Learning to Reduce Information Bottleneck for Object Detection in Aerial Images

5 April 2022

Papers citing "Learning to Reduce Information Bottleneck for Object Detection in Aerial Images"

6 / 6 papers shown

Title
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection W. Qian Xue Yang Silong Peng Junchi Yan Xiujuan Zhang 40 41 0 24 Sep 2021
Oriented R-CNN for Object Detection Xingxing Xie Gong Cheng Jiabao Wang Xiwen Yao Junwei Han ObjD 112 670 0 12 Aug 2021
TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection Kai Feng Weixing Li Jun Han Fengjian Pan Dongdong Zheng 37 21 0 06 Aug 2021
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images Qi Ming Lingjuan Miao Z. Zhou Yunpeng Dong ObjD 98 176 0 18 Jan 2021
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection Qi Ming Z. Zhou Lingjuan Miao Hongwei Zhang Linhao Li ObjD 147 285 0 08 Dec 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014