most citedBeyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification

67 citations · 73 across the 5 of their papers we have counts for

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cs.CV20235 cited

RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework

Yuelei Wang, Ting Zhang, Liangjin Zhao +9

In recent years, remote sensing (RS) vision foundation models such as RingMo have emerged and achieved excellent performance in various downstream tasks. However, the high demand f…

cs.CV2023

DCP-Net: A Distributed Collaborative Perception Network for Remote Sensing Semantic Segmentation

Zhechao Wang, Peirui Cheng, Shujing Duan +4

Onboard intelligent processing is widely applied in emergency tasks in the field of remote sensing. However, it is predominantly confined to an individual platform with a limited o…

cs.CV2023

LIGHT: Joint Individual Building Extraction and Height Estimation from Satellite Images through a Unified Multitask Learning Network

Yongqiang Mao, Xian Sun, Xingliang Huang +1

Building extraction and height estimation are two important basic tasks in remote sensing image interpretation, which are widely used in urban planning, real-world 3D construction,…

cs.CV20231 cited

SiamTHN: Siamese Target Highlight Network for Visual Tracking

Jiahao Bao, Kaiqiang Chen, Xian Sun +3

Siamese network based trackers develop rapidly in the field of visual object tracking in recent years. The majority of siamese network based trackers now in use treat each channel…

cs.CV202267 cited

Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification

Yongqiang Mao, Kaiqiang Chen, Wenhui Diao +4

The classification of airborne laser scanning (ALS) point clouds is a critical task of remote sensing and photogrammetry fields. Although recent deep learning-based methods have ac…