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All issues Volume 32 (2020) ITM Web Conf., 32 (2020) 03037 References
Open Access
Issue
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
Article Number 03037
Number of page(s) 5
Section Computing
DOI https://doi.org/10.1051/itmconf/20203203037
Published online 29 July 2020
  1. Research on underwater object recognition based on YOLOv3 Hongbo Yang1 • Ping Liu1 • YuZhen Hu1 • JingNan Fu1 [Google Scholar]
  2. TensorFlow: A System for Large-Scale Machine Learning Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng, Google Brain [Google Scholar]
  3. R.B. Girshick, Donahue, T. Darrel, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, pages 580-587, 2014 [Google Scholar]
  4. Domain Adaptive Faster R-CNN for Object Detection in the Wild Yuhua Chen1 Wen Li1 Christos Sakaridis1 Dengxin Dai1 Luc Van Gool1,2 1Computer Vision Lab, ETH Zurich 2VISICS, ESAT/PSI, KU Leuven [Google Scholar]
  5. R. Phadnis, J. Mishra and S. Bendale, “Objects Talk - Object Detection and Pattern Tracking Using Tensor-Flow,” 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, 2018, pp. 1216-1219. [Google Scholar]
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaim-ing He Ross Girshick Jian Sun. [Google Scholar]
  7. X. Chen, Qiang Guo, Shuohao Li and Jun Zhang, “Holistic Vertical Regional Proposal Network for scene text detection,” 2017 2nd International Conference on Image, Vision and Computing (ICIVC), Chengdu, 2017, pp. 72-77. [Google Scholar]
  8. Fast Accurate Fish Detection and Recognition of Underwater Images with Fast R-CNN Xiu Li, Min Shang, Hongwei Qin, Liansheng Chen. [Google Scholar]
  9. J. Kim and S. Yu, “Convolutional neural network-based real-time ROV detection using forward-looking sonar image,” 2016 IEEE/OES Autonomous Underwater Vehicles (AUV), Tokyo, 2016, pp. 396-400. [Google Scholar]
  10. Faster R-CNN for marine organisms detection and recognition using data augmentation Hai Huanga, Hao Zhoua, Xu Yang, Lu Zhang, Lu Qi, Ai-Yun Zang. [Google Scholar]
  11. Sai, B Sasikala, T.. (2019). Object Detection and Count of Objects in Image using Tensor Flow Object Detection API, 542-546. [Google Scholar]
  12. R. Phadnis, J. Mishra and S. Bendale, “Objects Talk - Object Detection and Pattern Tracking Using Tensor-Flow,” 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, 2018, pp. 1216-1219. [Google Scholar]
  13. Underwater Object Segmentation Based on Optical Features Zhe Chen 1 ID, Zhen Zhang 1, Yang Bu 2, Fengzhao Dai 2, Tanghuai Fan 3 and Huibin Wang 1,* [Google Scholar]
  14. Optimized Dynamic Background Subtraction Technique for Moving Object Detection and Tracking 1 Rahul Dutt Sharma, 2 Shubh Lakshmi Agrwal, 3 Sandeep K. Gupta, 4 Anil Prajapati . [Google Scholar]
  15. Learning SURF Cascade for Fast and Accurate Object Detection Jianguo Li, Yimin Zhang [Google Scholar]
  16. ORB: an efficient alternative to SIFT or SURF Ethan Rublee Vincent Rabaud Kurt Konolige Gary Bradski [Google Scholar]
  17. Speed/accuracy trade-offs for modern convolutional object detectors Jonathan Huang Vivek Rathod Chen Sun Menglong Zhu Anoop Korattikara Alireza Fathi Ian Fischer Zbigniew Wojna Yang Song Sergio Guadar-rama [Google Scholar]
  18. TensorFlow: A system for large-scale machine learning, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng [Google Scholar]

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