DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications-Reference-Cited by-同舟云学术

DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications

Author:

Chakravarthy Anirudh S.¹^ORCID,Sinha Soumendu²^ORCID,Narang Pratik¹^ORCID,Mandal Murari³^ORCID,Chamola Vinay⁴^ORCID,Yu F. Richard⁵^ORCID

Affiliation:

1. Department of Computer Science and Information Systems, BITS Pilani, Pilani Campus, India

2. Semiconductor Devices Area, CSIR-Central Electronics Engineering Research Institute, Pilani, India

3. IIIT Kota, Rajasthan, India

4. Department of Electrical and Electronics Engineering and APPCAIR, BITS-Pilani, Pilani Campus, India

5. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

Funder

SICI SICRG

BITS

Aerial Imagery using Deep Learning

Nvidia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference71 articles.

1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput - Assist Interv,0

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