Automated Image Annotation With Novel Features Based on Deep ResNet50-SLT
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Amjad Rehman Khan | Saeed Ali Bahaj | T. Saba | M. Rahim | A. Alkhayyat | M. M. Adnan | Faten S. Alamri
[1] A. Khan. Improved multi-lingual sentiment analysis and recognition using deep learning , 2023, Journal of Information Science.
[2] Fawziya M. Rammo,et al. Detecting The Speaker Language Using CNN Deep Learning Algorithm , 2022, Iraqi Journal for Computer Science and Mathematics.
[3] Suliman Mohamed Fati,et al. An Improved Automatic Image Annotation Approach using Convolutional Neural Network-Slantlet Transform , 2022, IEEE Access.
[4] Shengchang Ji,et al. ID-Net: an improved mask R-CNN model for intrusion detection under power grid surveillance , 2021, Neural Computing and Applications.
[5] Jianfang Cao,et al. Automatic image annotation method based on a convolutional neural network with threshold optimization , 2020, PloS one.
[6] Muhammad Hamza Bhatti,et al. Classification of Skin Cancer Dermoscopy Images using Transfer Learning , 2019, 2019 15th International Conference on Emerging Technologies (ICET).
[7] E. Topol,et al. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. , 2019, The Lancet. Digital health.
[8] Xuanjing Huang,et al. CNN-Based Chinese NER with Lexicon Rethinking , 2019, IJCAI.
[9] Tanzila Saba,et al. Convolution, Approximation and Spatial Information Based Object and Color Signatures for Content Based Image Retrieval , 2019, 2019 International Conference on Computer and Information Sciences (ICCIS).
[10] Amjad Rehman,et al. Content-based image retrieval: a deep look at features prospectus , 2019, Int. J. Comput. Vis. Robotics.
[11] Zahid Mehmood,et al. A novel method for content-based image retrieval to improve the effectiveness of the bag-of-words model using a support vector machine , 2018, J. Inf. Sci..
[12] Qi Tian,et al. Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Qing Xie,et al. CNN-feature based automatic image annotation method , 2019, Multimedia Tools and Applications.
[14] Zahid Mehmood,et al. Effect of complementary visual words versus complementary features on clustering for effective content-based image search , 2018, J. Intell. Fuzzy Syst..
[15] Mudassar Raza,et al. Fundus image classification methods for the detection of glaucoma: A review , 2018, Microscopy research and technique.
[16] Qian Zhang,et al. A survey and analysis on automatic image annotation , 2018, Pattern Recognit..
[17] T. Saba,et al. Scene analysis and search using local features and support vector machine for effective content-based image retrieval , 2018, Artificial Intelligence Review.
[18] Zahid Mehmood,et al. A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval , 2018 .
[19] T. Saba,et al. Image Enhancement and Segmentation Techniques for Detection of Knee Joint Diseases: A Survey , 2017, Current Medical Imaging Reviews.
[20] Ching-Hsien Hsu,et al. Deep learning based feature representation for automated skin histopathological image annotation , 2018, Multimedia Tools and Applications.
[21] Qing Liao,et al. Cancer classification with multi-task deep learning , 2017, 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).
[22] Meng Wang,et al. Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Alberto Del Bimbo,et al. Automatic image annotation via label transfer in the semantic space , 2016, Pattern Recognit..
[24] Amjad Rehman,et al. 3D bones segmentation based on CT images visualization , 2017 .
[25] Dzulkifli Mohamad,et al. Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears , 2018, Neural Computing and Applications.
[26] R. Manmatha,et al. Image Annotation using Multi-scale Hypergraph Heat Diffusion Framework , 2016, ICMR.
[27] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[29] Amjad Rehman,et al. Digital Watermarking for Images Security using Discrete Slantlet Transform , 2014 .
[30] T. Saba,et al. Annotated comparisons of proposed preprocessing techniques for script recognition , 2014, Neural Computing and Applications.
[31] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[32] Xiang-yang Wang,et al. Content-based image retrieval by integrating color and texture features , 2014, Multimedia Tools and Applications.
[33] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[34] C. V. Jawahar,et al. Image Annotation Using Metric Learning in Semantic Neighbourhoods , 2012, ECCV.
[35] T. Saba,et al. Off-line cursive script recognition: current advances, comparisons and remaining problems , 2012, Artificial Intelligence Review.
[36] Ghazali Sulong,et al. An intelligent approach to image denoising , 2010 .
[37] Wensheng Zou,et al. Content-Based Image Retrieval using color and edge direction features , 2010, 2010 2nd International Conference on Advanced Computer Control.
[38] Cordelia Schmid,et al. TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[39] Vladimir Pavlovic,et al. A New Baseline for Image Annotation , 2008, ECCV.
[40] Laura A. Dabbish,et al. Labeling images with a computer game , 2004, AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors.
[41] I. Selesnick. The slantlet transform , 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).
[42] Maria Petrou,et al. Multidimensional Co-occurrence Matrices for Object Recognition and Matching , 1996, CVGIP Graph. Model. Image Process..