Amazing technological breakthrough possible @S-Logix

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • +91- 81240 01111

Social List

Review of different techniques for object detection using deep learning - 2019

Review Of Different Techniques For Object Detection Using Deep Learning

Research Area:  Machine Learning


Human brain takes less than a minute to identify the location of object inside the image as well as recognize it as soon as it sees to it; but machine needs time and large amount of data to do the same task. Deep neural network based on convolution neural network gives high accuracy and great results in object detection and classification. To train deep neural networks, large amount of data such as (images and videos) and time is required. As computational cost of computer vision is very high, transfer-learning technique, where a model trained on one task is reused on another related task, gives better results. Authors have proposed various deep learning based algorithms for object detection and classification like Region based Convolutional neural network, Fast Region based Convolutional neural network, Faster Region based Convolutional neural network, Mask Region based Convolutional neural network and You Only Look Once. In this paper, a comparative study of different algorithms is given.


Author(s) Name:  Usha Mittal , Sonal Srivastava , Priyanka Chawla

Journal name:  

Conferrence name:  ICAICR -19: Proceedings of the Third International Conference on Advanced Informatics for Computing Research

Publisher name:  ACM

DOI:  10.1145/3339311.3339357

Volume Information: