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Visual Question Answering on CLEVR Standard v1.0 (val)

98.91AccuracyNS-CL
42.344457.029771.71586.4003Feb 17, 2022

Evaluation results

MethodLinks
NS-CLProgram-based representation/annotation=Y/N, Concept modeling/annotation=Y/N, Training data percentage=100%2022.0298.91
MACProgram-based representation/annotation=N/N, Concept modeling/annotation=N/N, Training data percentage=100%2022.0298.61
NS-VQAProgram-based representation/annotation=Y/Y, Concept modeling/annotation=Y/Y, Training data percentage=10%2022.0298.57
NS-VQAProgram-based representation/annotation=Y/Y, Concept modeling/annotation=Y/Y, Training data percentage=100%2022.0298.57
NS-CLProgram-based representation/annotation=Y/N, Concept modeling/annotation=Y/N, Training data percentage=10%2022.0298.51
G2L2Program-based representation/annotation=Y/N, Concept modeling/annotation=Y/N, Training data percentage=100%2022.0298.25
G2L2Program-based representation/annotation=Y/N, Concept modeling/annotation=Y/N, Training data percentage=10%2022.0298.11
TbD-NetProgram-based representation/annotation=Y/Y, Concept modeling/annotation=N/N, Training data percentage=100%2022.0298.04
MACProgram-based representation/annotation=N/N, Concept modeling/annotation=N/N, Training data percentage=10%2022.0285.39
TbD-NetProgram-based representation/annotation=Y/Y, Concept modeling/annotation=N/N, Training data percentage=10%2022.0244.52