PathVQA is the first public dataset of over 32,000 questions on nearly 5,000 pathology images for medical visual question answering.
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
Activation prompts on intermediate layers outperform input-level visual prompting and parameter-efficient fine-tuning in accuracy and efficiency across 29 datasets.
citing papers explorer
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PathVQA: 30000+ Questions for Medical Visual Question Answering
PathVQA is the first public dataset of over 32,000 questions on nearly 5,000 pathology images for medical visual question answering.
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Visual prompting reimagined: The power of the Activation Prompts
Activation prompts on intermediate layers outperform input-level visual prompting and parameter-efficient fine-tuning in accuracy and efficiency across 29 datasets.