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From the 1 of 1.6k papers with an AI index.

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20032026
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

Showing 2020 · cs.CVShow all

47 papers · 2 filters

cs.CV20208 cited

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…

cs.CV20201 cited

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…

cs.CV20202 cited

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…

cs.CV20206 cited

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…

cs.CV20205 cited

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…

cs.CV20203 cited

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…