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20122026
most citedLinking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

490 citations

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11 papers · 1 filter

cs.CV2024★ 5 cited

Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior

Chuanji Shi, Yingying Zhang, Jiaotuan Wang +2

Urban area-of-interest (AOI) refers to an integrated urban functional zone with defined polygonal boundaries. The rapid development of urban commerce has led to increasing demands…

cs.CV2022★ 41 cited

Determination of building flood risk maps from LiDAR mobile mapping data

Yu Feng, Qing Xiao, Claus Brenner +4

With increasing urbanization, flooding is a major challenge for many cities today. Based on forecast precipitation, topography, and pipe networks, flood simulations can provide ear…

cs.CV2021★ 230 cited

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

Ge-Peng Ji, Lei Zhu, Mingchen Zhuge +1

Camouflaged Object Detection (COD) aims to detect objects with similar patterns (e.g., texture, intensity, colour, etc) to their surroundings, and recently has attracted growing re…

cs.CV2021★ 21 cited

Deep Transfer Learning for Identifications of Slope Surface Cracks

Yuting Yang, Gang Mei

Geohazards such as landslides have caused great losses to the safety of people's lives and property, which is often accompanied with surface cracks. If such surface cracks could be…

cs.CV2021★ 153 cited

Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images

Lei Ding, Dong Lin, Shaofu Lin +5

Long-range contextual information is crucial for the semantic segmentation of High-Resolution (HR) Remote Sensing Images (RSIs). However, image cropping operations, commonly used f…

cs.CV2021★ 24 cited

GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator

Xingyu Liu, Ruida Zhang, Chenyangguang Zhang +4

6D pose estimation of rigid objects is a long-standing and challenging task in computer vision. Recently, the emergence of deep learning reveals the potential of Convolutional Neur…

cs.CV2020★ 26 cited

DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval

Yun Cao, Yuebin Wang, Junhuan Peng +4

With a small number of labeled samples for training, it can save considerable manpower and material resources, especially when the amount of high spatial resolution remote sensing…

cs.CV2020★ 11 cited

SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification

Yun Cao, Jie Mei, Yuebin Wang +5

Subspace learning (SL) plays an important role in hyperspectral image (HSI) classification, since it can provide an effective solution to reduce the redundant information in the im…

cs.CV2020★ 2 cited

MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

Xiaoman Qi, PanPan Zhu, Yuebin Wang +7

To better understand scene images in the field of remote sensing, multi-label annotation of scene images is necessary. Moreover, to enhance the performance of deep learning models…

cs.CV2019★ 4 cited

NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal

Houwang Zhang, Yuan Zhu, Hanying Zheng

In this paper, a novel algorithm called a non-local adaptive mean filter (NAMF) for removing salt-and-pepper (SAP) noise from corrupted images is presented. We employ an efficient…

cs.CV2019★ 490 cited

Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu

3D Point Cloud Semantic Segmentation (PCSS) is attracting increasing interest, due to its applicability in remote sensing, computer vision and robotics, and due to the new possibil…