相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Pedestrian Detection Using Multispectral Images and a Deep Neural Network
Jason Nataprawira et al.
SENSORS (2021)
Focal Loss for Dense Object Detection
Tsung-Yi Lin et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Multi-modal foreground detection via inter- and intra-modality-consistent low-rank separation
Aihua Zheng et al.
NEUROCOMPUTING (2020)
Attention guided neural network models for occluded pedestrian detection
Tengtao Zou et al.
PATTERN RECOGNITION LETTERS (2020)
Squeeze-and-Excitation Networks
Jie Hu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
A multi-task Faster R-CNN method for 3D vehicle detection based on a single image
Wankou Yang et al.
APPLIED SOFT COMPUTING (2020)
Pedestrian detection in underground mines via parallel feature transfer network
Xing Wei et al.
PATTERN RECOGNITION (2020)
Multi-modal recognition of worker activity for human-centered intelligent manufacturing
Wenjin Tao et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Fish species recognition using an improved AlexNet model
Zhiyong Ju et al.
OPTIK (2020)
Attention Based Multi-Layer Fusion of Multispectral Images for Pedestrian Detection
Yongtao Zhang et al.
IEEE ACCESS (2020)
Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection
Hao Chen et al.
PATTERN RECOGNITION (2019)
Detection of ships in inland river using high-resolution optical satellite imagery based on mixture of deformable part models
Pengfei Song et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2019)
Illumination-aware faster R-CNN for robust multispectral pedestrian detection
Chengyang Li et al.
PATTERN RECOGNITION (2019)
Improved localization accuracy by LocNet for Faster R-CNN based text detection in natural scene images
Zhuoyao Zhong et al.
PATTERN RECOGNITION (2019)
Recognition of pedestrian activity based on dropped-object detection
Weidong Min et al.
SIGNAL PROCESSING (2018)
Space Charge Analysis of Polyethylene with Chemical Defects Based on Density Function Theory
Tao Lin et al.
2018 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE) (2018)
Pedestrian intention prediction based on dynamic fuzzy automata for vehicle driving at nighttime
Joon-Young Kwak et al.
INFRARED PHYSICS & TECHNOLOGY (2017)
Pedestrian detection based on gradient and texture feature integration
Chun-Hou Zheng et al.
NEUROCOMPUTING (2017)
A new multi-modal approach to bib number/text detection and recognition in Marathon images
Palaiahnakote Shivakumara et al.
PATTERN RECOGNITION (2017)
Fully Convolutional Region Proposal Networks for Multispectral Person Detection
Daniel Koenig et al.
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)
Mask R-CNN
Kaiming He et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Design of coupled strong classifiers in AdaBoost framework and its application to pedestrian detection
Kang-Kook Kong et al.
PATTERN RECOGNITION LETTERS (2015)
Multi-spectral pedestrian detection
Yuan Yuan et al.
SIGNAL PROCESSING (2015)
Fast R-CNN
Ross Girshick
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Car detection in sequences of images of urban environments using mixture of deformable part models
Leissi Castaneda Leon et al.
PATTERN RECOGNITION LETTERS (2014)
Robust object detection based on deformable part model and improved scale invariant feature transform
Jianfang Dou et al.
OPTIK (2013)