Fine-tuning foundation models such as CLIP gives large, robust gains in partial label learning and makes the choice of PLL algorithm nearly irrelevant.
Network cooperation with progressive disambiguation for partial label learning
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Tuning the Right Foundation Models is What you Need for Partial Label Learning
Fine-tuning foundation models such as CLIP gives large, robust gains in partial label learning and makes the choice of PLL algorithm nearly irrelevant.