most citedHyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network

2 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.MA20211 cited

MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning

Zhiwei Xu, Dapeng Li, Yunpeng Bai +1

In the real world, many tasks require multiple agents to cooperate with each other under the condition of local observations. To solve such problems, many multi-agent reinforcement…

cs.MA2021

Learning to Coordinate via Multiple Graph Neural Networks

Zhiwei Xu, Bin Zhang, Yunpeng Bai +2

The collaboration between agents has gradually become an important topic in multi-agent systems. The key is how to efficiently solve the credit assignment problems. This paper intr…

cs.CV20202 cited

Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network

Yenan Jiang, Ying Li, Shanrong Zou +2

In recent years, deep convolutional neural networks (CNNs) have shown impressive ability to represent hyperspectral images (HSIs) and achieved encouraging results in HSI classifica…

cs.CV20201 cited

Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network

Lingyi Liu, Yunpeng Bai, Ying Li

Ship detection has been an active and vital topic in the field of remote sensing for a decade, but it is still a challenging problem due to the large scale variations, the high asp…

eess.IV20201 cited

Multispectral Pan-sharpening via Dual-Channel Convolutional Network with Convolutional LSTM Based Hierarchical Spatial-Spectral Feature Fusion

Dong Wang, Yunpeng Bai, Ying Li

Multispectral pan-sharpening aims at producing a high resolution (HR) multispectral (MS) image in both spatial and spectral domains by fusing a panchromatic (PAN) image and a corre…