From the 1 of 1.6k papers with an AI index.
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- Peking UniversityCN436 papers
- Tsinghua UniversityCN297 papers
- Carnegie Mellon UniversityUS269 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT266 papers
- Institute of High Energy PhysicsCN255 papers
- University of Science and Technology of ChinaCN254 papers
- University of Chinese Academy of SciencesCN235 papers
- Indian Institute of Technology MadrasIN222 papers
- Joint Institute for Nuclear ResearchRU220 papers
- University of PerugiaIT220 papers
- Zhejiang UniversityCN220 papers
- Università degli Studi del Piemonte Orientale “Amedeo Avogadro”IT214 papers
47 papers · 2 filters
MM-FSOD: Meta and metric integrated few-shot object detection
Yuewen Li, Wenquan Feng, Shuchang Lyu +2
In the object detection task, CNN (Convolutional neural networks) models always need a large amount of annotated examples in the training process. To reduce the dependency of expen…
MG-SAGC: A multiscale graph and its self-adaptive graph convolution network for 3D point clouds
Bo Wu, Bo Lang
To enhance the ability of neural networks to extract local point cloud features and improve their quality, in this paper, we propose a multiscale graph generation method and a self…
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
Yanan Zhang, Di Huang, Yunhong Wang
LiDAR-based 3D object detection is an important task for autonomous driving and current approaches suffer from sparse and partial point clouds of distant and occluded objects. In t…
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hao Zeng, Qingjie Liu, Mingming Zhang +2
Hyperspectral image classification (HIC) is an important but challenging task, and a problem that limits the algorithmic development in this field is that the ground truths of hype…
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
Tianyu Zhang, Lingxi Xie, Longhui Wei +4
The main difficulty of person re-identification (ReID) lies in collecting annotated data and transferring the model across different domains. This paper presents UnrealPerson, a no…
Deformable Gabor Feature Networks for Biomedical Image Classification
Xuan Gong, Xin Xia, Wentao Zhu +3
In recent years, deep learning has dominated progress in the field of medical image analysis. We find however, that the ability of current deep learning approaches to represent the…