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Multimodal Classification on CUB (train test)

0.938Accuracy

TAHCD

Updated 4d ago

Evaluation Results

Method	Links
TAHCD 2026.01		0.938	0.938	0.936
TAHCD 2026.01		0.936	0.935	0.935
PDF 2026.01		0.919	0.92	0.919
MLCLNet 2026.01		0.902	0.903	0.899
PDF 2026.01		0.901	0.901	0.902
DisNCL 2026.01		0.9	0.902	0.902
ASL 2026.01		0.899	0.897	0.89
SPS 2026.01		0.893	0.894	0.891
MD 2026.01		0.892	0.891	0.889
SMILE 2026.01		0.886	0.886	0.883
QMF 2026.01		0.883	0.883	0.879
MD 2026.01		0.882	0.882	0.882
QMF 2026.01		0.865	0.865	0.864
MLCLNet 2026.01		0.864	0.865	0.863
DisNCL 2026.01		0.852	0.853	0.853
ASL 2026.01		0.851	0.85	0.852
SPS 2026.01		0.834	0.832	0.836
SMILE 2026.01		0.82	0.819	0.819
TAHCD 2026.01		0.764	0.763	0.766
TAHCD 2026.01		0.753	0.752	0.754
DisNCL 2026.01		0.719	0.718	0.72
ASL 2026.01		0.717	0.716	0.716
SPS 2026.01		0.716	0.712	0.719
DisNCL 2026.01		0.708	0.709	0.709
ASL 2026.01		0.704	0.705	0.705
QMF 2026.01		0.703	0.702	0.695
SPS 2026.01		0.702	0.701	0.709
MD 2026.01		0.694	0.693	0.69
PDF 2026.01		0.694	0.693	0.683
MLCLNet 2026.01		0.692	0.688	0.681
MD 2026.01		0.685	0.68	0.678
PDF 2026.01		0.685	0.679	0.672
MLCLNet 2026.01		0.676	0.677	0.683
QMF 2026.01		0.648	0.651	0.648
SMILE 2026.01		0.622	0.623	0.619
SMILE 2026.01		0.568	0.564	0.559