43 citations · 70 across the 5 of their papers we have counts for
11 papers
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Meiyu Huang, Yao Xu, Lixin Qian +6
Deep learning techniques have made an increasing impact on the field of remote sensing. However, deep neural networks based fusion of multimodal data from different remote sensors…
Boosting ship detection in SAR images with complementary pretraining techniques
Wei Bao, Meiyu Huang, Yaqin Zhang +3
Deep learning methods have made significant progress in ship detection in synthetic aperture radar (SAR) images. The pretraining technique is usually adopted to support deep neural…
Training few-shot classification via the perspective of minibatch and pretraining
Meiyu Huang, Xueshuang Xiang, Yao Xu
Few-shot classification is a challenging task which aims to formulate the ability of humans to learn concepts from limited prior data and has drawn considerable attention in machin…
Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu, Jindong Wang, Yiqiang Chen +1
The recent advances in deep transfer learning reveal that adversarial learning can be embedded into deep networks to learn more transferable features to reduce the distribution dis…
Transfer Learning with Dynamic Distribution Adaptation
Jindong Wang, Yiqiang Chen, Wenjie Feng +3
Transfer learning aims to learn robust classifiers for the target domain by leveraging knowledge from a source domain. Since the source and the target domains are usually from diff…
Task-Driven Common Representation Learning via Bridge Neural Network
Yao Xu, Xueshuang Xiang, Meiyu Huang
This paper introduces a novel deep learning based method, named bridge neural network (BNN) to dig the potential relationship between two given data sources task by task. The propo…