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Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding

AAAI 2018 · Vision-language and multimodal › Cross-modal learning · approach: Medical multimodal fusion · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
PCN instead of IKR1recall system · Closed, V recalls otherrecall accuracy (%): 69.10±4.17% -> 83.98±3.02%Helped
PCN instead of IKR1recall system · Closed, A recalls otherrecall accuracy (%): 63.48±3.52% -> 86.24±3.30%Helped
PCN instead of MMSOMrecall system · Closed, V recalls otherrecall accuracy (%): 76.31±4.25% -> 83.98±3.02%Helped
PCN instead of MMSOMrecall system · Closed, A recalls otherrecall accuracy (%): 65.41±5.27% -> 86.24±3.30%Helped
PCN instead of GHF-ARTrecall system · Closed, V recalls otherrecall accuracy (%): 81.92±3.16% -> 83.98±3.02%Helped
PCN instead of GHF-ARTrecall system · Closed, G recalls otherrecall accuracy (%): 85.11±2.17% -> 90.35±2.74%Helped
PCN instead of MMSOMrecall system · Open-ended, A recalls otherrecall accuracy (%): 50.11±3.53% -> 88.07±2.78%Helped
PCN instead of MMSOMrecall system · Open-ended, V recalls otherrecall accuracy (%): 63.64±4.04% -> 84.83±3.26%Helped
PCN instead of IKR1recall system · Open-ended, A recalls otherrecall accuracy (%): 70.57±5.25% -> 88.07±2.78%Helped
PCN instead of GHF-ARTrecall system · Open-ended, G recalls otherrecall accuracy (%): 86.40±2.01% -> 92.09±2.16%Helped
move from closed to open-ended environmentMMSOM · V recalls otherrecall accuracy (%): 76.31±4.25% -> 63.64±4.04%Hurt
move from closed to open-ended environmentMMSOM · A recalls otherrecall accuracy (%): 65.41±5.27% -> 50.11±3.53%Hurt

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