Multi-Background Island Bird Detection Based on Faster R-CNN-Reference-Cited by-同舟云学术

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Multi-Background Island Bird Detection Based on Faster R-CNN

Published:2020-10-01 Issue:1 Volume:52 Page:26-35
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Fan Jianchao¹,Liu Xiaoxin²,Wang Xinzhe³,Wang Deyi⁴,Han Min⁴

Affiliation:

1. Department of Marine Remote Sensing, National Marine Environment Monitoring Center, Dalian, China

2. Department of Computer Science and Engineering, Washington University in St. Louis, Saint Louis, MO, USA

3. School of Control Science and Engineering, Dalian Polytechnic University, Dalian, China

4. School of Control Science and Engineering, Dalian University of Technology, Dalian, China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2020.1827799

Reference23 articles.

1. Archetypal analysis based sparse convex sequence kernel for bird activity detection

2. Flying Bird Detection under Shaking Background

3. A Novel Method for Automatic Detection of Basic Shapes on Whiteboard Images using Faster RCNN

4. BubCNN: Bubble detection using Faster RCNN and shape regression network

5. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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