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VL-ICL Bench dataset and benchmarks · SOTA2 Research

Research Datasets

VL-ICL Bench

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Vision-Language In-Context Learning

VL-ICL Bench Fast Open MiniImageNet (test)

100Top-1 Accuracy

14

Object-Property Induction

VL-ICL Bench OP_IND

89.4Accuracy

14

Few-shot Visual Question An Answering

VL-ICL Bench TextOCR (test)

26.4Mean Accuracy

13

Few-shot Visual Question Answering

VL-ICL Bench CLEVR (test)

31.4Accuracy

13

Operator Induction

VL-ICL Bench OP_IND (test)

47.7Mean Accuracy

13

Few-shot Visual Question Answering

VL-ICL Bench Open-MI (test)

77.9Mean Accuracy

13

Popular tasks

Few-shot Visual Question Answering Operator Induction Few-shot Visual Question An Answering Object-Property Induction Vision-Language In-Context Learning

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