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3D Visual Question Answering on 3DMV-VQA (held-out)

68.9Concept Accuracy3D-LLM
57.56460.50763.4566.393Jul 24, 2023

Evaluation results

MethodLinks
3D-LLMBackbone=flamingo2023.0768.932.461.668.358.6
3D-LLMBackbone=BLIP2-flanT52023.0768.131.455.169.754.6
3D-CLRexplicit object representations and neuro-symbolic reasoning=true2023.0766.141.357.672.357.7
3D-LLMBackbone=BLIP2-opt2023.0763.430.757.665.254.9
BLIPInput=MultiView2023.0761.921.14862.347.1
3D-Feature+LSTM2023.0761.222.449.961.348.2
flamingoInput=MultiView2023.076018.340.261.441.6
NS-VQAexplicit object representations and neuro-symbolic reasoning=true2023.0759.821.533.461.638
flamingoInput=SingleImage2023.0758.718.538.460.140.3
BLIPInput=SingleImage2023.075820.442.362.343.1