94 citations · 127 across the 5 of their papers we have counts for
5 papers
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
Wei Hu, QiHao Zhao, Yangyu Huang +1
Learning deep neural network (DNN) classifier with noisy labels is a challenging task because the DNN can easily over-fit on these noisy labels due to its high capability. In this…
Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification
Fan Zhang, MinChao Yan, Chen Hu +2
The land cover classification has played an important role in remote sensing because it can intelligently identify things in one huge remote sensing image to reduce the work of hum…
SeqFace: Make full use of sequence information for face recognition
Wei Hu, Yangyu Huang, Fan Zhang +3
Deep convolutional neural networks (CNNs) have greatly improved the Face Recognition (FR) performance in recent years. Almost all CNNs in FR are trained on the carefully labeled da…
DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation
Ruirui Li, Wenjie Liu, Lei Yang +4
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the sea-land segmentation is a challenging task. Al…
SAR Target Recognition Using the Multi-aspect-aware Bidirectional LSTM Recurrent Neural Networks
Fan Zhang, Chen Hu, Qiang Yin +3
The outstanding pattern recognition performance of deep learning brings new vitality to the synthetic aperture radar (SAR) automatic target recognition (ATR). However, there is a l…