Dimensional Emotion Recognition on IEMOCAP (test)

0.849Score (l)HRLF

Evaluation results

Method
HRLF2024.11	0.849	0.718	0.697	0.864	0.856	0.723	0.785	0.881
HRLF2024.11	0.837	0.711	0.69	0.853	0.839	0.736	0.778	0.864
HRLF2024.11	0.834	0.691	0.672	0.845	0.835	0.709	0.764	0.867
CorrKD2024.11	0.827	0.713	0.676	0.834	0.822	0.725	0.766	0.859
CorrKD2024.11	0.826	0.696	0.68	0.841	0.82	0.7	0.761	0.875
CorrKD2024.11	0.822	0.67	0.658	0.839	0.828	0.673	0.748	0.861
GCNet2024.11	0.819	0.673	0.666	0.837	0.825	0.698	0.753	0.877
TransM2024.11	0.81	0.65	0.607	0.839	0.817	0.669	0.732	0.861
SMIL2024.11	0.805	0.665	0.638	0.831	0.818	0.682	0.74	0.868
GCNet2024.11	0.805	0.694	0.661	0.838	0.819	0.704	0.754	0.869
GCNet2024.11	0.801	0.662	0.642	0.825	0.816	0.681	0.738	0.852
SMIL2024.11	0.796	0.672	0.618	0.831	0.82	0.678	0.736	0.849
TransM2024.11	0.795	0.632	0.589	0.824	0.805	0.644	0.715	0.84
SMIL2024.11	0.789	0.652	0.622	0.824	0.796	0.682	0.728	0.852
TransM2024.11	0.784	0.645	0.611	0.816	0.802	0.665	0.721	0.855
MCTN2024.11	0.771	0.61	0.567	0.816	0.804	0.589	0.693	0.846
MCTN2024.11	0.769	0.634	0.608	0.796	0.776	0.669	0.709	0.831
MCTN2024.11	0.767	0.644	0.604	0.789	0.771	0.686	0.71	0.828
DMD2024.11	0.695	0.554	0.519	0.732	0.703	0.613	0.636	0.911
CubeMLP2024.11	0.689	0.543	0.514	0.721	0.698	0.606	0.629	0.89
Self-MM2024.11	0.687	0.519	0.548	0.713	0.695	0.575	0.623	0.867
Self-MM2024.11	0.669	0.522	0.501	0.699	0.683	0.563	0.606	0.908
HRLF2024.11	0.668	0.561	0.545	0.689	0.67	0.569	0.617	0.713
CubeMLP2024.11	0.658	0.531	0.504	0.695	0.69	0.548	0.604	0.872
CubeMLP2024.11	0.653	0.548	0.532	0.703	0.687	0.581	0.617	0.885
Self-MM2024.11	0.651	0.53	0.519	0.695	0.677	0.566	0.607	0.884
DMD2024.11	0.65	0.549	0.535	0.707	0.692	0.611	0.624	0.884
DMD2024.11	0.648	0.537	0.512	0.708	0.699	0.572	0.613	0.886
CorrKD2024.11	0.631	0.542	0.523	0.685	0.643	0.572	0.599	0.715
GCNet2024.11	0.618	0.511	0.496	0.662	0.635	0.533	0.576	0.711
TransM2024.11	0.602	0.499	0.507	0.652	0.624	0.524	0.568	0.671
SMIL2024.11	0.602	0.504	0.488	0.654	0.622	0.526	0.566	0.689
MCTN2024.11	0.601	0.519	0.504	0.647	0.624	0.549	0.574	0.677
Self-MM2024.11	0.558	0.482	0.504	0.581	0.565	0.528	0.536	0.727
DMD2024.11	0.54	0.512	0.48	0.569	0.556	0.534	0.532	0.722
CubeMLP2024.11	0.535	0.508	0.487	0.573	0.545	0.518	0.528	0.718