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PENet: Object Detection using Points Estimation in Aerial Images

PENet: Object Detection using Points Estimation in Aerial Images

22 January 2020
Ziyang Tang
Xiang Liu
Guangyu Shen
B. Yang
    3DPC
ArXiv (abs)PDFHTML

Papers citing "PENet: Object Detection using Points Estimation in Aerial Images"

6 / 6 papers shown
Title
A Coarse to Fine Framework for Object Detection in High Resolution Image
A Coarse to Fine Framework for Object Detection in High Resolution Image
Jinyan Liu
Jie Chen
ObjD
120
3
0
02 Mar 2023
Focus-and-Detect: A Small Object Detection Framework for Aerial Images
Focus-and-Detect: A Small Object Detection Framework for Aerial Images
Onur Can Koyun
Reyhan Kevser Keser
Ibrahim Batuhan Akkaya
B. U. Toreyin
ObjD
101
82
0
24 Mar 2022
Deep Learning for UAV-based Object Detection and Tracking: A Survey
Deep Learning for UAV-based Object Detection and Tracking: A Survey
Chao Xu
Wei Li
Danfeng Hong
R. Tao
Yong Liu
135
208
0
25 Oct 2021
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for
  Object Detection on Drone-captured Scenarios
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Xingkui Zhu
Shuchang Lyu
Xu Wang
Qi Zhao
98
1,310
0
26 Aug 2021
Tackling the Background Bias in Sparse Object Detection via Cropped
  Windows
Tackling the Background Bias in Sparse Object Detection via Cropped Windows
Leon Amadeus Varga
A. Zell
97
8
0
04 Jun 2021
Towards Better Object Detection in Scale Variation with Adaptive Feature
  Selection
Towards Better Object Detection in Scale Variation with Adaptive Feature Selection
Zehui Gong
Dong Li
ObjD
148
4
0
06 Dec 2020
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