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PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense
  Object Counting in Remote Sensing Images
v1v2v3 (latest)

PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images

7 December 2020
Guangshuai Gao
Qingjie Liu
Zhenghui Hu
Lu Li
Qi Wen
Yunhong Wang
ArXiv (abs)PDFHTMLGithub (18★)

Papers citing "PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images"

5 / 5 papers shown
Mamba-MOC: A Multicategory Remote Object Counting via State Space Model
Mamba-MOC: A Multicategory Remote Object Counting via State Space Model
Peng Liu
Sen Lei
Heng-Chao Li
Mamba
366
2
0
12 Jan 2025
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing ImagesIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Nanqing Liu
Xun Xu
Yongyi Su
Haojie Zhang
Heng-Chao Li
VLM
668
68
0
20 Sep 2024
NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in
  Aerial Images
NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Images
Junyu Gao
Liangliang Zhao
Xuelong Li
287
72
0
19 Jan 2024
Shifted Autoencoders for Point Annotation Restoration in Object Counting
Shifted Autoencoders for Point Annotation Restoration in Object CountingEuropean Conference on Computer Vision (ECCV), 2023
Yuda Zou
Xin Xiao
Peilin Zhou
Zhichao Sun
Bo Du
Yongchao Xu
366
3
0
12 Dec 2023
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, StrongerComputer Vision and Pattern Recognition (CVPR), 2016
Joseph Redmon
Ali Farhadi
VLMObjD
800
17,365
0
25 Dec 2016
1
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