SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Table 28: Accuracy (%) of DMRL [50], a closed-set UDA method, on Office-Home.
Method	Ar → Cl	Ar → Pr	Ar → Re	Cl → Ar	Cl → Pr	Cl → Re	Pr → Ar	Pr → Cl	Pr → Re	Re → Ar	Re → Cl	Re → Pr	avg
Entropy [42]	47.03	62.09	73.42	55.29	64.34	66.54	51.92	48.96	74.16	67.20	54.75	80.74	62.20
InfoMax [28]	48.55	62.09	73.42	55.29	64.34	66.54	51.92	48.96	74.16	67.20	54.75	80.74	62.33
SND [29]	47.84	62.76	73.86	54.92	64.34	66.65	51.87	48.96	73.74	66.42	53.08	80.74	62.10
Corr-C [43]	47.74	62.76	72.53	55.29	64.34	68.12	53.11	47.56	74.55	66.46	53.08	78.91	62.04
MixVal	47.74	62.76	73.42	56.29	64.34	68.12	53.73	48.96	74.67	67.37	54.54	80.74	62.72
Worst	47.03	61.73	72.34	54.84	62.90	66.15	51.87	46.85	73.67	66.42	53.08	78.71	61.30
Best	48.55	62.76	73.86	56.41	64.34	68.12	53.73	48.96	74.73	67.45	54.75	80.74	62.87
Table 29: Accuracy (%) of DMRL [50] and SHOT [20] on Office-31.
Method	DMRL [50]	avg	SHOT [20]	avg
A→D	A→W	D→A	W→A	A→D	A→W	D→A	W→A
Entropy [42]	80.52	86.67	61.77	65.57	73.63	90.76	88.68	71.21	72.13	80.70
InfoMax [28]	80.52	86.67	61.77	65.57	73.63	90.76	88.68	71.21	72.13	80.70
SND [29]	84.14	86.67	61.77	61.91	73.62	90.76	88.68	71.21	72.13	80.70
Corr-C [43]	77.51	81.13	60.28	60.17	69.77	90.76	90.19	71.21	71.96	81.03
MixVal	82.93	86.67	63.40	66.38	74.85	92.37	92.32	71.21	72.88	82.20
Worst	76.31	81.13	60.28	60.17	69.47	90.76	88.68	71.21	71.92	80.64
Best	84.14	86.67	64.22	66.38	75.35	94.78	93.33	75.58	74.55	84.56