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Visual Question Answering on VQA (dev)
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75.9
Accuracy
VinVL
71.116
72.358
73.6
74.842
Apr 3, 2023
Accuracy
Updated 3d ago
Evaluation Results
Method
Method
Links
Accuracy
VinVL
#Img=6M, Encoder Type=...
2023.04
75.9
CODIS
#Img=4M, Encoder Type=...
2023.04
75
SoftMask++
#Img=4M, Encoder Type=...
2023.04
75
TCL
#Img=4M, Encoder Type=...
2023.04
74.9
ALBEF
#Img=4M, Encoder Type=...
2023.04
74.5
VILLA
#Img=4M, Encoder Type=...
2023.04
73.6
UNIMO
#Img=4M, Encoder Type=...
2023.04
73.3
OSCAR
#Img=4M, Encoder Type=...
2023.04
73.2
UNITER
#Img=4M, Encoder Type=...
2023.04
72.7
ViLT
#Img=4M, Encoder Type=...
2023.04
71.3
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