Search Results - "Cheng, Gong"

Two-dimensional magnetic crystals and emergent heterostructure devices by Gong, Cheng, Zhang, Xiang

“…Magnetism, originating from the moving charges and spin of elementary particles, has revolutionized important technologies such as data storage and biomedical…”
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Remote Sensing Image Scene Classification: Benchmark and State of the Art by Cheng, Gong, Han, Junwei, Lu, Xiaoqiang

“…Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention. During the…”
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A survey on object detection in optical remote sensing images by Cheng, Gong, Han, Junwei

“…Object detection in optical remote sensing images, being a fundamental but challenging problem in the field of aerial and satellite image analysis, plays an…”
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Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images by Li, Ke, Cheng, Gong, Bu, Shuhui, You, Xiong

“…Most of the existing deep-learning-based methods are difficult to effectively deal with the challenges faced for geospatial object detection such as rotation…”
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Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection by Cheng, Gong, Han, Junwei, Zhou, Peicheng, Xu, Dong

“…The performance of object detection has recently been significantly improved due to the powerful features learnt through convolutional neural networks (CNNs)…”
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Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification by Zhou, Peicheng, Han, Junwei, Cheng, Gong, Zhang, Baochang

“…As one of the fundamental research topics in remote sensing image analysis, hyperspectral image (HSI) classification has been extensively studied so far…”
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Holistic Prototype Activation for Few-Shot Segmentation by Cheng, Gong, Lang, Chunbo, Han, Junwei

“…Conventional deep CNN-based segmentation approaches have achieved satisfactory performance in recent years, however, they are essentially Big Data-driven…”
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Tau and neurodegenerative disease: the story so far by Iqbal, Khalid, Liu, Fei, Gong, Cheng-Xin

“…Key Points Tau pathology, consisting of hyperphosphorylated tau, is a hallmark of Alzheimer disease (AD) and other tauopathies Hyperphosphorylation converts…”
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When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs by Cheng, Gong, Yang, Ceyuan, Yao, Xiwen, Guo, Lei, Han, Junwei

“…Remote sensing image scene classification is an active and challenging task driven by many applications. More recently, with the advances of deep learning…”
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A Unified Metric Learning-Based Framework for Co-Saliency Detection by Han, Junwei, Cheng, Gong, Li, Zhenpeng, Zhang, Dingwen

“…Co-saliency detection, which focuses on extracting commonly salient objects in a group of relevant images, has been attracting research interest because of its…”
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TCANet: Triple Context-Aware Network for Weakly Supervised Object Detection in Remote Sensing Images by Feng, Xiaoxu, Han, Junwei, Yao, Xiwen, Cheng, Gong

“…Weakly supervised object detection (WSOD) in remote sensing images (RSI) plays an essential role in RSI understanding applications. Currently, predominant…”
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Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images by Cheng, Gong, Zhou, Peicheng, Han, Junwei

“…Object detection in very high resolution optical remote sensing images is a fundamental problem faced for remote sensing image analysis. Due to the advances of…”
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Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images by Feng, Xiaoxu, Han, Junwei, Yao, Xiwen, Cheng, Gong

“…Weakly supervised learning has been attracting much attention due to its broad applications, which only requires image-level annotations to indicate whether…”
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Anchor-Free Oriented Proposal Generator for Object Detection by Cheng, Gong, Wang, Jiabao, Li, Ke, Xie, Xingxing, Lang, Chunbo, Yao, Yanqing, Han, Junwei

“…Oriented object detection is a practical and challenging task in remote sensing image interpretation. Nowadays, oriented detectors mostly use horizontal boxes…”
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ISNet: Towards Improving Separability for Remote Sensing Image Change Detection by Cheng, Gong, Wang, Guangxing, Han, Junwei

“…Deep learning has substantially pushed forward remote sensing image change detection through extracting discriminative hierarchical features. However, as the…”
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Towards Large-Scale Small Object Detection: Survey and Benchmarks by Cheng, Gong, Yuan, Xiang, Yao, Xiwen, Yan, Kebing, Zeng, Qinghua, Xie, Xingxing, Han, Junwei

“…With the rise of deep convolutional neural networks, object detection has achieved prominent advances in past years. However, such prosperity could not…”
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Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification by Cheng, Gong, Li, Zhenpeng, Han, Junwei, Yao, Xiwen, Guo, Lei

“…Hyperspectral image (HSI) classification is an active and important research task driven by many practical applications. To leverage deep learning models…”
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Object detection in optical remote sensing images: A survey and a new benchmark by Li, Ke, Wan, Gang, Cheng, Gong, Meng, Liqiu, Han, Junwei

“…Substantial efforts have been devoted more recently to presenting various methods for object detection in optical remote sensing images. However, the current…”
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Weakly Supervised Object Localization and Detection: A Survey by Zhang, Dingwen, Han, Junwei, Cheng, Gong, Yang, Ming-Hsuan

“…As an emerging and challenging problem in the computer vision community, weakly supervised object localization and detection plays an important role for…”
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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities by Cheng, Gong, Xie, Xingxing, Han, Junwei, Guo, Lei, Xia, Gui-Song

“…Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad…”
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