Search Results - "Bai, Bendu"

Few-Shot Classification of Aerial Scene Images via Meta-Learning by Zhang, Pei, Bai, Yunpeng, Wang, Dong, Bai, Bendu, Li, Ying

“…Convolutional neural network (CNN) based methods have dominated the field of aerial scene classification for the past few years. While achieving remarkable…”
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Robust Correlation Tracking for UAV with Feature Integration and Response Map Enhancement by Lin, Bin, Bai, Yunpeng, Bai, Bendu, Li, Ying

“…Recently, correlation filter (CF)-based tracking algorithms have attained extensive interest in the field of unmanned aerial vehicle (UAV) tracking…”
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Detecting and tracking dim small targets in infrared image sequences under complex backgrounds by Li, Ying, Liang, Shi, Bai, Bendu, Feng, David

“…This paper presents a unified framework for automatically detecting and tracking dim small targets in infrared (IR) image sequence under complex backgrounds…”
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A Meta-Learning Framework for Few-Shot Classification of Remote Sensing Scene by Zhang, Pei, Bai, Yunpeng, Wang, Dong, Bai, Bendu, Li, Ying

“…While achieving remarkable success in remote sensing (RS) scene classification for the past few years, convolutional neural network (CNN) based methods suffer…”
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Heterogeneous two-Stream Network with Hierarchical Feature Prefusion for Multispectral Pan-Sharpening by Wang, Dong, Bai, Yunpeng, Bai, Bendu, Wu, Chanyue, Li, Ying

“…Multispectral (MS) pan-sharpening aims at producing a high spatial resolution (HR) MS image by fusing a single-band HR panchromatic (PAN) image and a…”
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Kernel sparse NMF for hyperspectral unmixing by Bei Fang, Ying Li, Peng Zhang, Bendu Bai

“…Spectral unmixing is one of the most challenging and fundamental problems in hyperspectral imagery. In this paper, we address a hyperspectral imagery unmixing…”
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Attention Guided Network for Multi Exposure Image Fusion by Li, Junpeng, Bai, Bendu

“…The lack of ground-truth fused images for supervised learning, and exiting multi-exposure image fusion suffer from loss of edge features and blurred detail. To…”
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An Improved Particle Swarm Optimization for SVM Training by Ying Li, Yan Tong, Bendu Bai, Yanning Zhang

“…Since training a SVM requires solving a constrained quadratic programming problem which becomes difficult for very large datasets, an improved particle swarm…”
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Multi-level Dispersion Residual Network for Efficient Image Super-Resolution by Mao, Yanyu, Zhang, Nihao, Wang, Qian, Bai, Bendu, Bai, Wanying, Fang, Haonan, Liu, Peng, Li, Mingyue, Yan, Shengbo

“…Recently, single image super-resolution (SISR) has made great progress, especially through the combination of convolutional neural network (CNN) and…”
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An adaptive neurofuzzy network for identification of the complicated nonlinear system by Ying Li, Bendu Bai, Licheng Jiao

“…This paper presents a compound neural network model, i.e., adaptive neurofuzzy network (ANFN), which can be used for identifying the complicated nonlinear…”
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An Improved SIFT Feature Extraction Method for Tyre Tread Patterns Retrieval by Shuai Wang, Ying Liu, Daxiang Li, Haoyang Yan

“…SIFT features have been found to be effective in describing image textures. Because SIFT features have some great characteristics, such as translation…”
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