2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDMLR-APPL-IP-6.2
Paper Title MBB: A MULTI-SCALE METHOD FOR DATA BASED ON BIT PLANE SLICING
Authors Youneng Bao, Harbin Institute of Technology, Shenzhen, China; Chao Li, Shenzhen University, China; Fanyang Meng, Pengcheng Laboratory, China; Yongsheng Liang, Harbin Institute of Technology, Shenzhen, China; Wei Liu, Pengcheng Laboratory, China; Kaiyu Liu, Harbin Institute of Technology, Shenzhen, China
SessionMLR-APPL-IP-6: Machine learning for image processing 6
LocationArea E
Session Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Poster
Topic Applications of Machine Learning: Machine learning for image processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Multi-scale methodology can enhance the performance of the model in deep learning. The current multi-scale methodology focuses on changing the formation, which will increase the parameters and calculations of the network. This paper offers a multi-scale method for data based on bit plane slicing(MBB). This expands the receptive field of valid information in image data. It is done by multi-level fusing image with high bit planes. Our experimentation shows that by adding MBB in front of the backbone network, one can achieve a significant performance improvement. The MBB approach is widely applicable because it does not require changes to the structure of the backbone network.