7 citations · 11 across the 6 of their papers we have counts for
6 papers
Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing Images
Zhan Shi, Xin Ding, Peng Ding +3
Ship orientation angle prediction (SOAP) with optical remote sensing images is an important image processing task, which often relies on deep convolutional neural networks (CNNs) t…
Supervised Contrastive Learning for Recommendation
Chun Yang
In this work, we aim to consider the application of contrastive learning in the scenario of the recommendation system adequately, making it more suitable for recommendation task. W…
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis
Chun Yang
Considering the models that apply the contextual information of time-series data could improve the fault diagnosis performance, some neural network structures such as RNN, LSTM, an…
A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases
Chun Yang, Franz Rottensteiner, Christian Heipke
Land use as contained in geospatial databases constitutes an essential input for different applica-tions such as urban management, regional planning and environmental monitoring. I…
Security Event Recognition for Visual Surveillance
Michael Ying Yang, Wentong Liao, Chun Yang +2
With rapidly increasing deployment of surveillance cameras, the reliable methods for automatically analyzing the surveillance video and recognizing special events are demanded by d…
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
Chun Yang, Xu-Cheng Yin, Zejun Li +4
Recognizing text in the wild is a really challenging task because of complex backgrounds, various illuminations and diverse distortions, even with deep neural networks (convolution…