Object recognition algorithm based on optimized nonlinear activation function-global convolutional neural network

[1]  Zhenkun Lei,et al.  Accurate and efficient extraction of fringe orientation from the poor-quality ESPI fringe pattern with a convolutional neural network. , 2019, Applied optics.

[2]  Goo-Rak Kwon,et al.  Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine‐learning techniques , 2019, Int. J. Imaging Syst. Technol..

[3]  Dinh-Cuong Hoang,et al.  Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots , 2019, 2019 European Conference on Mobile Robots (ECMR).

[4]  Li Wang,et al.  Research on Warehouse Object Detection Algorithm Based on Fused DenseNet and SSD , 2019, IGTA.

[5]  Hui Li,et al.  Computer vision and deep learning–based data anomaly detection method for structural health monitoring , 2019 .

[6]  I. Mizuuchi,et al.  Detection of object arrangement patterns using images for robot picking , 2018, ROBOMECH Journal.

[7]  Dong Liu,et al.  IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks , 2018, BMVC.

[8]  Jianhuang Lai,et al.  Interleaved Structured Sparse Convolutional Neural Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[9]  Jianqiang Wang,et al.  Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment , 2018, IEEE Transactions on Industrial Informatics.

[10]  Yichen Wei,et al.  Relation Networks for Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[11]  Zhiqiang Shen,et al.  Learning Efficient Convolutional Networks through Network Slimming , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[12]  Andreas Stolcke,et al.  The Microsoft 2017 Conversational Speech Recognition System , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[13]  Kaiming He,et al.  Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[14]  Wu-Jun Li,et al.  Deep Discrete Supervised Hashing , 2017, IEEE Transactions on Image Processing.

[15]  Zhiming Luo,et al.  Non-local Deep Features for Salient Object Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[16]  Xiaohui Peng,et al.  Deep Learning for Sensor-based Activity Recognition: A Survey , 2017, Pattern Recognit. Lett..

[17]  Elliot Saltzman,et al.  Hybrid convolutional neural networks for articulatory and acoustic information based speech recognition , 2017, Speech Commun..

[18]  Philip S. Yu,et al.  HashNet: Deep Learning to Hash by Continuation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[19]  Serge J. Belongie,et al.  Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[20]  Zhuowen Tu,et al.  On the Connection of Deep Fusion to Ensembling , 2016, ArXiv.

[21]  Hanan Samet,et al.  Pruning Filters for Efficient ConvNets , 2016, ICLR.

[22]  Kilian Q. Weinberger,et al.  Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Lei Zhang,et al.  Object Tracking via Dual Linear Structured SVM and Explicit Feature Map , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[24]  Shiguang Shan,et al.  Deep Supervised Hashing for Fast Image Retrieval , 2016, International Journal of Computer Vision.

[25]  Nikos Komodakis,et al.  Wide Residual Networks , 2016, BMVC.

[26]  Ling Shao,et al.  Color object recognition via cross-domain learning on RGB-D images , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[27]  Kilian Q. Weinberger,et al.  Deep Networks with Stochastic Depth , 2016, ECCV.

[28]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[29]  Wei Liu,et al.  SSD: Single Shot MultiBox Detector , 2015, ECCV.

[30]  Dacheng Tao,et al.  Robust Face Recognition via Multimodal Deep Face Representation , 2015, IEEE Transactions on Multimedia.

[31]  Yusen Zhan,et al.  Online Transfer Learning in Reinforcement Learning Domains , 2015, AAAI Fall Symposia.

[32]  Ali Farhadi,et al.  You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[33]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Ross B. Girshick,et al.  Fast R-CNN , 2015, 1504.08083.

[35]  Rainer Stiefelhagen,et al.  How to Transfer? Zero-Shot Object Recognition via Hierarchical Transfer of Semantic Attributes , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

[36]  Dumitru Erhan,et al.  Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[37]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[38]  Bingbing Ni,et al.  HCP: A Flexible CNN Framework for Multi-Label Image Classification , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[39]  Kate Saenko,et al.  Asymmetric and Category Invariant Feature Transformations for Domain Adaptation , 2014, International Journal of Computer Vision.

[40]  Qiang Chen,et al.  Network In Network , 2013, ICLR.

[41]  F. Perronnin,et al.  Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[42]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[43]  David A. McAllester,et al.  Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[44]  Yihong Gong,et al.  Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[45]  Fei-Fei Li,et al.  ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[46]  Cordelia Schmid,et al.  Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[47]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[48]  Sylvain Bertrand,et al.  Autonomous and Safe Inspection of an Industrial Warehouse by a Multi-rotor MAV , 2017, FSR.

[49]  Jitendra Malik,et al.  Region-Based Convolutional Networks for Accurate Object Detection and Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[50]  ImageNet Classification with Deep Convolutional Neural , 2013 .

[51]  Geoffrey E. Hinton,et al.  Melting of Peridotite to 140 Gigapascals , 2010, Science.

[52]  Gabriela Csurka,et al.  Visual categorization with bags of keypoints , 2002, eccv 2004.

[53]  R. Cucchiara,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Multi-stage Particle Windows for Fast and Accurate Object Detection , 2022 .