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- Chinese Academy of SciencesCN215 papers
- High Magnetic Field LaboratoryCN175 papers
- University of Science and Technology of ChinaCN122 papers
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- Collaborative Innovation Center of Advanced MicrostructuresCN42 papers
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- Institute of PhysicsPL32 papers
- Institute of Solid State PhysicsCN32 papers
- Nanjing UniversityCN32 papers
- Hefei National Center for Physical Sciences at NanoscaleCN19 papers
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5 papers · 1 filter
M3Net: A Macro-to-Meso-to-Micro Clinical-inspired Hierarchical 3D Network for Pulmonary Nodule Classification
Jinyue Li, Yuzhou Yu, Jingjing Yang +7
The accurate classification of benign and malignant pulmonary nodules in CT scans is critical for early lung cancer screening, yet remains challenging due to the multi-scale and he…
A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets
Chengzhang Yu, Xianjun Yang, Wenxia Bao +2
In environments where RGB images are inadequate, pressure maps is a viable alternative, garnering scholarly attention. This study introduces a novel self-supervised pressure map ke…
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing
Jiwei Chen, Kewei Wang, Wen Su +1
Crowd counting based on density maps is generally regarded as a regression task.Deep learning is used to learn the mapping between image content and crowd density distribution. Alt…
Crowd counting with segmentation attention convolutional neural network
Jiwei Chen, Zengfu Wang
Deep learning occupies an undisputed dominance in crowd counting. In this paper, we propose a novel convolutional neural network (CNN) architecture called SegCrowdNet. Despite the…
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field
Weixin Huang, Huawei Liang, Linglong Lin +4
Ground segmentation is an important preprocessing task for autonomous vehicles (AVs) with 3D LiDARs. To solve the problem of existing ground segmentation methods being very difficu…