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A Novel Approach for Fish Species Classification Combining Convolutional Neural Networks and Vision Transformers

2025-12-09

Abstract excerpt

<title>Abstract</title> <p>Fish species classification plays an essential role in aquaculture management, marine biodiversity conservation and fisheries monitoring. Traditional methods rely heavily on manual identification, which is time-consuming, prone to human error and inefficient on a large scale. This paper proposes a new approach entitled DeepLIFT-ViT, which combines the Visual Geometry Group 16 (VGG16) an...

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Literature Corpus work: 451bd4f4-f96d-5793-9f0b-08847d1b147b
DOI: 10.21203/rs.3.rs-8017135/v1

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