SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Table 15: Accuracies of 19 corruptions on CIFAR-100-C. For brevity, DA-PGD, DA-ZOO-Input, DA-PL, and DA-Direct are abbreviated as D-PG, D-Z-I, D-PL, and D-Di, respectively.
C	Deployed	DINE	BETA	D-PG	D-Z-I	D-PL	D-Di	SODA	SODA-R	MA-SO
GN	19.21	20.17	20.89	5.31	13.95	19.13	16.73	40.88	53.59	57.25
ShN	22.13	23.02	24.23	5.28	16.20	21.87	19.49	41.91	55.16	58.60
IN	12.26	11.50	11.78	3.70	9.28	12.38	10.32	20.31	49.14	47.37
SpN	23.37	23.84	25.02	4.69	16.64	23.27	20.39	40.35	53.72	58.42
DB	60.39	57.75	56.31	3.24	44.99	60.00	55.37	67.22	68.03	68.92
GIB	17.74	17.81	18.58	3.01	12.61	17.22	12.90	29.92	41.97	49.66
MB	45.79	43.98	43.20	3.61	34.81	46.38	43.43	58.50	66.88	64.03
ZB	61.64	59.07	57.06	3.42	44.73	61.98	57.18	64.86	66.57	70.51
GaB	54.40	51.94	49.67	3.20	39.83	55.09	51.40	68.53	70.47	69.53
SW	45.47	44.82	43.18	6.08	35.14	44.88	40.18	50.30	59.15	58.23
FR	39.77	39.65	39.52	3.49	27.85	39.77	37.11	52.10	57.82	60.97
FG	31.94	31.23	30.71	1.43	17.73	31.66	31.07	48.71	55.13	54.40
BR	71.18	69.67	65.47	6.53	61.33	70.23	64.35	70.29	70.73	70.34
CT	49.10	46.10	43.35	1.23	25.49	51.56	48.43	71.71	73.03	69.91
ET	40.45	39.86	38.89	3.29	28.36	39.66	32.71	40.14	49.77	56.61
PX	27.77	27.87	29.36	4.24	29.23	27.72	24.85	55.63	62.06	66.37
JC	49.98	49.50	48.39	5.91	44.13	50.36	45.79	55.99	59.92	63.89
SP	44.18	43.80	42.47	5.03	35.22	44.56	39.20	49.49	61.85	61.83
SA	69.97	68.25	64.69	6.24	61.55	69.64	64.36	69.73	70.82	71.48
Table 16: Accuracies of 19 corruptions on ImageNet-C. For brevity, DA-PGD, DA-ZOO-Input, DA-PL, and DA-Direct are abbreviated as D-PG, D-Z-I, D-PL, and D-Di, respectively. Note that DINE and BETA are excluded because their required initialization of the target models violates the setting of test-time adaptation.
C	Deployed	D-PG	D-Z-I	D-PL	D-Di	SODA	SODA-R	MA-SO
GN	8.98	6.72	10.52	10.38	9.18	26.72	40.99	34.85
ShN	11.48	9.39	6.14	12.93	9.97	28.46	43.24	40.46
IN	8.77	8.30	11.47	10.38	8.51	25.31	56.44	35.60
SpN	29.27	21.82	19.35	32.23	30.05	46.62	56.26	54.18
DB	21.99	1.29	2.42	21.73	17.47	24.52	31.43	43.98
GIB	7.35	2.30	0.74	6.78	1.69	7.84	0.62	38.46
MB	20.67	3.20	3.55	19.07	15.44	31.72	58.76	63.46
ZB	32.81	7.11	16.42	30.94	26.08	30.64	43.74	67.36
GaB	17.88	1.02	2.03	17.07	12.86	15.38	0.69	33.93
SW	34.92	1.33	14.55	33.98	31.15	51.58	59.39	63.52
FR	36.88	1.63	7.57	37.70	36.27	47.00	54.42	58.40
FG	57.72	0.91	32.85	58.07	57.87	60.92	60.45	73.17
BR	73.11	45.92	60.78	74.11	72.22	73.04	60.91	75.02
CT	70.92	0.13	50.83	75.02	75.18	74.72	61.71	69.21
ET	9.88	12.31	1.84	8.40	5.82	28.43	53.61	65.50
PX	7.29	22.29	3.38	6.74	4.49	53.99	58.25	66.37
JC	47.32	43.11	24.12	49.15	47.63	51.08	52.52	59.22
SP	33.03	19.70	14.93	34.61	30.26	54.21	66.05	65.92
SA	65.53	42.17	50.42	67.06	65.87	69.25	65.87	72.50
tataaaee
adapated data
defocus blur
glass blur
motion blur
zoom blur
gaussian blur
adapredada
Gaussian noise
shot noise
impulse noise
speckle noise
saturate
taaee
adapated data
snow
frost
fog
brightness
contrast
adapredada
elastic transform
pixlate
jpeg compression
spatter
Figure 9: Examples of test data and adapted data using SODA for 19 corruptions in CIFAR-10-C. The bottom-right data is the original data in the CIFAR-10 test dataset without corruption.