Deep learning in computer vision: A critical review of emerging techniques and application scenarios

[1]  Enrico Zio,et al.  A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer , 2021, Appl. Soft Comput..

[2]  Gurjit Singh Walia,et al.  Recent advances on multicue object tracking: a survey , 2016, Artificial Intelligence Review.

[3]  Anabel Quan-Haase,et al.  PRIVACY PROTECTION STRATEGIES ON FACEBOOK , 2013 .

[4]  Jian Sun,et al.  Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2015, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Jian Huang,et al.  Deep learning in finance and banking: A literature review and classification , 2020, Frontiers of Business Research in China.

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

[7]  Yi Li,et al.  R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.

[8]  Nima Tajbakhsh,et al.  UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation , 2020, IEEE Transactions on Medical Imaging.

[9]  Gurjit Singh Walia,et al.  Recent trends in multicue based visual tracking: A review , 2020, Expert Syst. Appl..

[10]  Ali Farhadi,et al.  YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  Quoc V. Le,et al.  GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism , 2018, ArXiv.

[12]  Michael Elad,et al.  Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.

[13]  Rajeev Agrawal,et al.  A Transfer Learning approach for AI-based classification of brain tumors , 2020 .

[14]  Jaakko Lehtinen,et al.  Noise2Noise: Learning Image Restoration without Clean Data , 2018, ICML.

[15]  Soo Ye Kim,et al.  JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video , 2020, AAAI.

[16]  Andrea Vedaldi,et al.  Deep Image Prior , 2020, International Journal of Computer Vision.

[17]  François Laviolette,et al.  Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..

[18]  Chih-Chung Hsu,et al.  Deep Fake Image Detection Based on Pairwise Learning , 2020, Applied Sciences.

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

[20]  Satoshi Oyama,et al.  Fine-tuning deep convolutional neural networks for distinguishing illustrations from photographs , 2016, Expert Syst. Appl..

[21]  Linwei Ye,et al.  Dual Convolutional LSTM Network for Referring Image Segmentation , 2020, IEEE Transactions on Multimedia.

[22]  Seunghoon Hong,et al.  Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation , 2015, NIPS.

[23]  Qingshan Liu,et al.  Robust Visual Tracking via Convolutional Networks Without Training , 2015, IEEE Transactions on Image Processing.

[24]  Dit-Yan Yeung,et al.  Learning a Deep Compact Image Representation for Visual Tracking , 2013, NIPS.

[25]  Kalyan Chatterjee,et al.  Detection of brain abnormality by a novel Lu-Net deep neural CNN model from MR images , 2020 .

[26]  Ran Huang,et al.  The digitalization and public crisis responses of small and medium enterprises: Implications from a COVID-19 survey , 2020, Frontiers of Business Research in China.

[27]  Alessandro Foi,et al.  Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.

[28]  Amjad J. Humaidi,et al.  Review of deep learning: concepts, CNN architectures, challenges, applications, future directions , 2021, Journal of Big Data.

[29]  Sergey Ioffe,et al.  Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.

[30]  Mohamed Chetouani,et al.  AudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis , 2020, Machine Learning with Applications.

[31]  Jana L. Dambrogio,et al.  Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography , 2021, Nature Communications.

[32]  Xiaoou Tang,et al.  Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[34]  Jin Zhao,et al.  Discriminant deep belief network for high-resolution SAR image classification , 2017, Pattern Recognit..

[35]  Lefteris Moussiades,et al.  Chatbots: History, technology, and applications , 2020 .

[36]  Gang Wang,et al.  Video Tracking Using Learned Hierarchical Features , 2015, IEEE Transactions on Image Processing.

[37]  Quoc V. Le,et al.  EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.

[38]  Michael S. Lew,et al.  Deep learning for visual understanding: A review , 2016, Neurocomputing.

[39]  Panos Liatsis,et al.  A deep gated recurrent neural network for petroleum production forecasting , 2021 .