SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning.
The fish market is a crucial industry for both domestic economies and the global seafood trade. Accurate fish species classification (FSC) plays a significant role in ensuring sustainability, improving food safety, and optimizing market efficiency. This study introduces automatic FSC using Swin Tran...
Saved in:
| Main Author: | Ebru Ergün |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0322711 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Wavelet-Attention Swin for Automatic Diabetic Retinopathy Classification
by: Rasha Ali Dihin, et al.
Published: (2024-08-01) -
FML-Swin: An Improved Swin Transformer Segmentor for Remote Sensing Images
by: Tianren Wu, et al.
Published: (2025-01-01) -
CFP-SwinT: building damage classification during floods using cross fusion pyramid Swin-T
by: Chuyi Wu, et al.
Published: (2025-08-01) -
DEDSWIN-Net: Dual Encoder Dilated Convolution and Swin Transformer Network for the Classification of Liver CT Images
by: Jyoshna Allenki, et al.
Published: (2025-07-01) -
Enhanced pulmonary nodule detection with U-Net, YOLOv8, and swin transformer
by: Xing Wang, et al.
Published: (2025-07-01)