8 citations · 10 across the 3 of their papers we have counts for
6 papers
MultiResolution Attention Extractor for Small Object Detection
Fan Zhang, Licheng Jiao, Lingling Li +2
Small objects are difficult to detect because of their low resolution and small size. The existing small object detection methods mainly focus on data preprocessing or narrowing th…
A Survey of Deep Learning-based Object Detection
Licheng Jiao, Fan Zhang, Fang Liu +4
Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in peoples life, such as monitoring security, autonomous dr…
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification
Xiufang Li, Qigong Sun, Lingling Li +3
Exploiting rich spatial and spectral features contributes to improve the classification accuracy of hyperspectral images (HSIs). In this paper, based on the mechanism of the popula…
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification
Qigong Sun, Xiufang Li, Lingling Li +3
Polarimetric synthetic aperture radar (PolSAR) images are widely used in disaster detection and military reconnaissance and so on. However, their interpretation faces some challeng…
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification
Yan Ju, Lingling Li, Licheng Jiao +3
Due to the limited amount and imbalanced classes of labeled training data, the conventional supervised learning can not ensure the discrimination of the learned feature for hypersp…
Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images
Lin Cheng, Xu Liu, Lingling Li +2
Object detection is a fundamental and challenging problem in aerial and satellite image analysis. More recently, a two-stage detector Faster R-CNN is proposed and demonstrated to b…