Multimodal Classification on MVSA (test) benchmark leaderboard · SOTA2 Research

Multimodal Classification on MVSA (test)

79.94Accuracy (%)MLA

Evaluation Results

Method	Links
MLA2023.11		79.94
MLA2023.11		79.94
QMF2023.11		77.96
QMF2023.11		77.96
Late Fusion2023.11		76.88
Late Fusion2023.11		76.88
OGM-GE2023.11		76.37
OGM-GE2023.11		76.37
Concat2023.11		76.25
Concat2023.11		76.25
Sum2023.11		76.19
Sum2023.11		76.19
BiGated2023.11		75.94
BiGated2023.11		75.94
MLA2023.11		75.72
MLA2023.11		75.72
FiLM2023.11		75.34
FiLM2023.11		75.34
Concat2023.11		75.22
Concat2023.11		75.22
QMF2023.11		74.87
QMF2023.11		74.87
FiLM2023.11		74.85
FiLM2023.11		74.85
OGM-GE2023.11		74.76
OGM-GE2023.11		74.76
Sum2023.11		73.33
Sum2023.11		73.33
BiGated2023.11		73.13
BiGated2023.11		73.13
Late Fusion2023.11		72.15
Late Fusion2023.11		72.15
MLA2023.11		54.99
MLA2023.11		54.99
Late Fusion2023.11		45.24
Late Fusion2023.11		45.24
QMF2023.11		32.99
QMF2023.11		32.99
OGM-GE2023.11		31.98
OGM-GE2023.11		31.98
Sum2023.11		28.46
Sum2023.11		28.46
BiGated2023.11		28.15
BiGated2023.11		28.15
Concat2023.11		27.32
Concat2023.11		27.32
FiLM2023.11		27.12
FiLM2023.11		27.12