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When labeled data are very scarce and onboard computing resources are limited, what is the best way to efficiently adapt a foundation model to a marine classification task?
①Full fine-tuning that completely retrains the model.
②Parameter-efficient fine-tuning methods such as LoRA and adapters.
③Increase the number of labels through instruction tuning.
④Conduct large-scale continuous pre-training.
⑤Use a simple rule-based filter.