Search Results - "Zhou, Peicheng"

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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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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Multi-class geospatial object detection and geographic image classification based on collection of part detectors by Cheng, Gong, Han, Junwei, Zhou, Peicheng, Guo, Lei

“…The rapid development of remote sensing technology has facilitated us the acquisition of remote sensing images with higher and higher spatial resolution, but…”
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Duplex Metric Learning for Image Set Classification by Cheng, Gong, Zhou, Peicheng, Han, Junwei

“…Image set classification has attracted much attention because of its broad applications. Despite the success made so far, the problems of intra-class diversity…”
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RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection by Gong Cheng, Peicheng Zhou, Junwei Han

“…Thanks to the powerful feature representations obtained through deep convolutional neural network (CNN), the performance of object detection has recently been…”
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Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding by Han, Junwei, Zhou, Peicheng, Zhang, Dingwen, Cheng, Gong, Guo, Lei, Liu, Zhenbao, Bu, Shuhui, Wu, Jun

“…Automatic detection of geospatial targets in cluttered scenes is a profound challenge in the field of aerial and satellite image analysis. In this paper, we…”
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Object detection in remote sensing imagery using a discriminatively trained mixture model by Cheng, Gong, Han, Junwei, Guo, Lei, Qian, Xiaoliang, Zhou, Peicheng, Yao, Xiwen, Hu, Xintao

“…Automatically detecting objects with complex appearance and arbitrary orientations in remote sensing imagery (RSI) is a big challenge. To explore a possible…”
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Efficient On-Board Compression for Arbitrary-Shaped Cloud-Covered Remote Sensing Images via Adaptive Filling and Controllable Quantization by Wang, Keyan, Jia, Jia, Zhou, Peicheng, Ma, Haoyi, Yang, Liyun, Liu, Kai, Li, Yunsong

“…Due to the fact that invalid cloud-covered regions in remote sensing images consume a considerable quantity of coding bit rates under the limited…”
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AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection by Wang, Keyan, Wu, Xueyan, Zhou, Peicheng, Chen, Zuntian, Zhang, Rui, Yang, Liyun, Li, Yunsong

“…Infrared small target detection is considerably challenging due to the few pixels in targets, low signal-to-noise ratio, and complex background. In this…”
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Auto‐encoder‐based shared mid‐level visual dictionary learning for scene classification using very high resolution remote sensing images by Gong Cheng, Peicheng Zhou, Junwei Han, Lei Guo, Jungong Han

“…Effective representation and classification of scenes using very high resolution (VHR) remote sensing images cover a wide range of applications. Although…”
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Scene classification of high resolution remote sensing images using convolutional neural networks by Gong Cheng, Chengcheng Ma, Peicheng Zhou, Xiwen Yao, Junwei Han

“…Scene classification of high resolution remote sensing images plays an important role for a wide range of applications. While significant efforts have been…”
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Person Reidentification via Structural Deep Metric Learning by Yang, Xun, Zhou, Peicheng, Wang, Meng

“…Despite the promising progress made in recent years, person reidentification (re-ID) remains a challenging task due to the complex variations in human…”
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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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Instance-Aware Distillation for Efficient Object Detection in Remote Sensing Images by Li, Cong, Cheng, Gong, Wang, Guangxing, Zhou, Peicheng, Han, Junwei

“…Practical applications ask for object detection models that achieve high performance at low overhead. Knowledge distillation demonstrates favorable potential…”
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Cross-Level Attentive Feature Aggregation for Change Detection by Wang, Guangxing, Cheng, Gong, Zhou, Peicheng, Han, Junwei

“…This article studies change detection within pairs of optical images remotely sensed from overhead views. We consider that a high-performance solution to this…”
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On Improving Bounding Box Representations for Oriented Object Detection by Yao, Yanqing, Cheng, Gong, Wang, Guangxing, Li, Shengyang, Zhou, Peicheng, Xie, Xingxing, Han, Junwei

“…Detecting objects in remote sensing images (RSIs) using oriented bounding boxes (OBBs) is flourishing but challenging, wherein the design of OBB…”
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Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping by Zhou, Peicheng, Cheng, Gong, Liu, Zhenbao, Bu, Shuhui, Hu, Xintao

“…Target detection in remote sensing images (RSIs) is a fundamental yet challenging problem faced for remote sensing images analysis. More recently, weakly…”
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Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images by Gong Cheng, Junwei Han, Peicheng Zhou, Lei Guo

“…In this paper we present a conceptually simple but surprisingly effective multi-class geospatial object detection method based on Collection of Part Detectors…”
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Negative Bootstrapping for Weakly Supervised Target Detection in Remote Sensing Images by Peicheng Zhou, Dingwen Zhang, Gong Cheng, Junwei Han

“…When training a classifier in a traditional weakly supervised learning scheme, negative samples are obtained by randomly sampling. However, it may bring…”
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Object detection in VHR optical remote sensing images via learning rotation-invariant HOG feature by Gong Cheng, Peicheng Zhou, Xiwen Yao, Chao Yao, Yanbang Zhang, Junwei Han

“…Object detection in very high resolution (VHR) optical remote sensing images is one of the most fundamental but challenging problems in the field of remote…”
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