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Visual Question Answering on OKVQA (L-inf Robustness Evaluation)

60.3VQA Accuracy (Clean)Sim-CLIP²
29.82837.73945.6553.561Jul 20, 2024

Evaluation results

MethodLinks
Sim-CLIP²VLM=LLaVA 1.5, Vision encoder=Sim-CLIP²2024.0760.347.531.517.5
Sim-CLIP⁴VLM=LLaVA 1.5, Vision encoder=Sim-CLIP⁴2024.0758.646.538.522.3
CLIPVLM=LLaVA 1.5, Vision encoder=CLIP2024.0757.38.330
TeCoA²VLM=LLaVA 1.5, Vision encoder=TeCoA²2024.0755.640.330.514.2
FARE²VLM=LLaVA 1.5, Vision encoder=FARE²2024.0754.343.530.115.3
FARE⁴VLM=LLaVA 1.5, Vision encoder=FARE⁴2024.0753.54534.815.3
TeCoA⁴VLM=LLaVA 1.5, Vision encoder=TeCoA⁴2024.0750.33932.312.3
CLIPVLM=Open Flamingo, Vision encoder=CLIP2024.0748.51.800
Sim-CLIP²VLM=Open Flamingo, Vision encoder=Sim-CLIP²2024.0735.129.319.711.6
FARE²VLM=Open Flamingo, Vision encoder=FARE²2024.0734.530.617.19.8
TeCoA²VLM=Open Flamingo, Vision encoder=TeCoA²2024.0733.623.415.36.7
Sim-CLIP⁴VLM=Open Flamingo, Vision encoder=Sim-CLIP⁴2024.073227.42215.7
FARE⁴VLM=Open Flamingo, Vision encoder=FARE⁴2024.0731.82819.213.5
TeCoA⁴VLM=Open Flamingo, Vision encoder=TeCoA⁴2024.073122.420.510.1