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SonarDiff: A Quality-Guided Diffusion Framework for Long-Tailed Recognition in Low-Visibility Acoustic Imaging

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.neunet.2018.07.011openalex-snapshot
A systematic study of the class imbalance problem in convolutional neural networks
inferredcites →https://doi.org/10.1109/access.2020.2978880openalex-snapshot
Underwater Object Classification in Sidescan Sonar Images Using Deep Transfer Learning and Semisynthetic Training Data
inferredcites →https://doi.org/10.1109/joe.2024.3350746openalex-snapshot
Sonar Image Generation by MFA-CycleGAN for Boosting Underwater Object Detection of AUVs
inferredcites →https://doi.org/10.1109/tip.2022.3181496openalex-snapshot
Image Quality Assessment Using Contrastive Learning
inferredcites →https://doi.org/10.1109/tpami.2023.3261988openalex-snapshot
Diffusion Models in Vision: A Survey
inferredcites →https://doi.org/10.1109/tpami.2023.3268118openalex-snapshot
Deep Long-Tailed Learning: A Survey
inferredcites →https://doi.org/10.52202/079017-3909openalex-snapshot
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
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