Survey Paper | Computer Science & Engineering | India | Volume 8 Issue 12, December 2019
Deep Collaborative Learning Approach Over Object Recognition
Yash Munot
The object recognition using deep neural networks have been most used in real applications. We proposes a framework for recognizing objects in very low resolution images through the collaborative learning of two deep neural networks consists of Image enhancement network Object recognition network. The image improvement network tries to enhance extremely low resolution images into sharper and more informative images with the use of collaborative learning signals from the object recognition network. The object recognition network with trained weights for high resolution images actively participates in the learning of the image enhancement network. It also utilizes the output from the image enhancement network as augmented learning data to boost its recognition performance on very low resolution objects. We verified that the proposed method can improve the image reconstruction and classification performance.
Keywords: Image acquisition, Image Segmentation, Feature Extraction, Artificial Neural Network
Edition: Volume 8 Issue 12, December 2019
Pages: 320 - 324
How to Cite this Article?
Yash Munot, "Deep Collaborative Learning Approach Over Object Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20203203, Volume 8 Issue 12, December 2019, 320 - 324
83 PDF Views | 55 PDF Downloads
Similar Articles with Keyword 'Image acquisition'
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 7, July 2014
Pages: 1942 - 1947A Secured Image Storing and Retrieving Framework over Cloud Environment
Kolasani Sravya, Yakkala Nagendra Kumar
Research Paper, Computer Science & Engineering, India, Volume 5 Issue 3, March 2016
Pages: 1847 - 1849Traffic Light Control Using Image Processing
Jaya Singh, S. K. Singh
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014
Pages: 1979 - 1982Palm Vein Authentication: A Review
Gitanjali Sikka, Er. Vikas Wasson
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 1, January 2015
Pages: 394 - 397A Secure Third Party Image Reconstruction System in Cloud
Shinde Nitanjali U., Borole M.V.
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 7 Issue 8, August 2018
Pages: 1364 - 1370Analysis of the Parameters Involved in the Iris Recognition System
Minakshi Boruah
Similar Articles with Keyword 'Image Segmentation'
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015
Pages: 2515 - 2518Ameliorating Brain Image Segmentation Using Fuzzy Clustering Techniques
Sana Tak, Toran Verma
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 1702 - 1705An Adaptive Recursive Reconstruction Technique for Segmentation of Images
Peram Nagamani, Gunna Kishore
Review Papers, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 1830 - 1834Figure-Ground Segmentation Techniques
Snehal P. Ambulkar, Nikhil S. Sakhare
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014
Pages: 1789 - 1791Role of Active Contour in Image Processing
Manjeet Kaur, Sukhpreet Kaur
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 8, August 2014
Pages: 1611 - 1615Image Segmentation Using Glowworm Swarm Optimization for Finding Initial Seed
Dr. L. Sankari
Similar Articles with Keyword 'Feature Extraction'
Comparative Studies, Computer Science & Engineering, India, Volume 5 Issue 5, May 2016
Pages: 1844 - 1847A Comparative Studyon Kernel PCA and PCA Methods for Face Recognition
Mohammad Mohsen Ahmadinejad, Elizabeth Sherly
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 2810 - 2813Palm Print Recognition System ? Review
Mohit Trehan, Nitin Bhagat
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 9, September 2016
Pages: 989 - 992View-Based and Modular Eigenspaces for Face Recognition
Parveen Yadav, Rahul Kadian
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014
Pages: 2110 - 2113A Study on Nature - Inspired Approach of Face Recognition
Pooja Khokher
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 7, July 2014
Pages: 627 - 632LoG Feature Extraction Based Photographic Detection
Sujitha B Cherkottu, Smija Das
Similar Articles with Keyword 'Artificial Neural Network'
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015
Pages: 2257 - 2261Virus Detection System for Android Using ANN
Harshada S. Palve, Vrunda K. Bhusari
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015
Pages: 2860 - 2862Handwritten Text Recognition Using Information Energy And Neural Network
Kanchan Keisham, Sunanda Dixit
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 1812 - 1815A Survey on Domain Name Categorization Using Artificial Neural Networks
Akshay S. Dhomble, Disha Deotale
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 826 - 829Neural Systems Approach for Ammography Finding by Utilizing Wavelet Features
A. Mallareddy, A. Priyanka
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014
Pages: 1529 - 1534Performance Based Evaluation of New Software Testing Using Artificial Neural Network
Jogi John, Mangesh Wanjari