PathVQA is the first public dataset of over 32,000 questions on nearly 5,000 pathology images for medical visual question answering.
Long short-term memory
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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The authors propose BIHIWE, a microarchitecture that accelerates DNN dot-products by bit-partitioning them into spatially parallel low-bitwidth MAC units operating in the charge domain and sharing A/D converters.
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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Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic
The authors propose BIHIWE, a microarchitecture that accelerates DNN dot-products by bit-partitioning them into spatially parallel low-bitwidth MAC units operating in the charge domain and sharing A/D converters.