CDFM: A cross‐domain few‐shot model for marine plankton classification-Reference-Cited by-同舟云学术

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CDFM: A cross‐domain few‐shot model for marine plankton classification

Published:2022-09-14 Issue:1 Volume:17 Page:111-121
ISSN:1751-9632
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Guo Jin¹^ORCID,Li Wengen¹,Guan Jihong¹,Gao Hang²³,Liu Baobo³,Gong Lili⁴

Affiliation:

1. Department of Computer Science and Technology Tongji University Shanghai China

2. School of Ocean and Earth Sciences State Key Laboratory of Marine Geology Tongji University Shanghai China

3. Project Management Office of China National Scientific Seafloor Observatory Tongji University Shanghai China

4. Office of Academic Research Shanghai Publishing and Printing College Shanghai China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cvi2.12137

Reference50 articles.

2. Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask

3. Deep learning and transfer learning features for plankton classification

4. Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning

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1. Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives;Artificial Intelligence Review;2024-04-12

2. Computer vision and deep learning meet plankton: Milestones and future directions;Image and Vision Computing;2024-03

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