Unsupervised Domain Adaptation on Caltech-Office (All Domain Shifts) benchmark leaderboard · SOTA2 Research

Unsupervised Domain Adaptation on Caltech-Office (All Domain Shifts)

95.2Accuracy (A → C)MEDA-IR

Evaluation Results

Method	Links
MEDA-IR2019.04		95.2	96.8	98	96.2	96.2	95.9	95.5	93.8	98.6	96.2	94.5	99.4	96.4
MDAIR2019.04		94.2	100	98.6	96.1	96.2	94.9	95.8	94.2	98.6	96.3	94.9	100	96.7
DCORAL2019.04		91.9	90.5	100	89.8	91	97.3	80.1	88.6	92.3	81.5	83.7	90.1	89.7
MEDA2019.04		89	88.5	90.8	93	89.8	91.2	93.2	88.6	98.6	92.2	89	99.4	91.9
ARTL2019.04		87.4	85.4	88.5	92.4	86.6	87.8	92.7	87.3	100	92.3	88.2	100	90.7
DDC2019.04		85	89	86.1	91.9	88.8	85.4	87.1	79	97.7	83.8	78	100	86.1
JGSA2019.04		84.9	88.5	81	91.4	93.6	86.8	92	86.2	99.7	90.7	85	100	90
DAN2019.04		84.1	91.7	91.8	92	89.3	90.6	90	80.3	98.5	92.1	81.2	100	90.1
SVM2019.04		83.3	83.4	72.5	91	85.4	78	78.2	65	96.6	72.1	62.9	99.4	80.7
AlexNet2019.04		83	87.4	79.5	91.9	87.1	83.7	87.1	79	97.7	83.8	73	100	86.1
ITCA2019.04		82.9	79	70.8	81	79.6	65.8	82.5	77.9	90.5	85.5	78.2	92.4	80.5
TJM2019.04		82.8	86	78.3	86.7	86	84.7	89.6	83.8	99.3	86	82	100	87.1
TCA2019.04		82.2	72.6	68.1	77	84.7	80.7	86.4	82.2	84.7	86.4	79.3	88.5	81.1
JDA2019.04		81.6	81.5	80.7	88.4	85.4	84.4	91.5	86	99.3	89.8	82.2	100	87.6
BDA2019.04		79.6	84.7	73.2	89.5	81.5	78.6	88.5	79.7	98.6	83.3	78.1	100	84.6
RHGD2024.02		78.7	80.25	69.83	88.21	80.25	68.47	82.74	75.69	97.97	83.49	73.62	98.73	—
GFK2019.04		77.4	79	66.8	88.8	86	77.3	84.7	75.5	99	76.5	72	100	81.9
OT-SKH2024.02		76.83	75.8	69.83	84.35	78.34	68.14	80.92	71.57	93.9	74.17	67.02	87.26	—
SSTCA2019.04		76.5	83.4	72.5	79.6	80.9	70.5	85.2	78.7	87.8	79.5	69.9	90.4	79.6
OT-EMD2024.02		66.67	47.77	45.76	67.52	36.31	42.71	62.17	59.71	85.08	55.41	51.16	96.82	—