Underwater Fish Species Recognition Using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Underwater Fish Species Recognition Using Deep Learning Techniques

Published:2019-03 Issue: Volume: Page:
ISSN:
Container-title:2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)
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Author:

Deep B Vikram,Dash Ratnakar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8700085/8711482/08711657.pdf?arnumber=8711657

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ConvFishNet: An efficient backbone for fish classification from composited underwater images;Information Sciences;2024-09

2. CLIB: Contrastive learning of ignoring background for underwater fish image classification;Frontiers in Neurorobotics;2024-07-31

3. Advancing Underwater Trash Detection: Harnessing Mask R-CNN, YOLOv8, EfficientDet-D0 and YOLACT;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

4. A dual-branch feature fusion neural network for fish image fine-grained recognition;The Visual Computer;2024-04-10

5. Deep learning-based phenotype classification of three ark shells: Anadara kagoshimensis, Tegillarca granosa, and Anadara broughtonii;Frontiers in Marine Science;2024-04-08

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