Image Classification on CIFAR-10 IDN (test) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-10 IDN (test)

94.07Accuracy (20% IDN)NCSAM

Evaluation Results

Method	Links
NCSAM2026.01		94.07	—	89.78	—	68.91
CC2026.01		93.68	—	94.97	—	94.95
DivideMix2026.01		93.33	—	95.07	—	85.5
Ours - p(Y\|X)2023.08		92.63	91.39	90.91	89.77	—
Ours - p(X,Y)2023.08		92.6	91.96	91.11	90.57	—
KMEIDTM2023.08		92.26	90.73	85.94	73.77	—
CAL2026.01		92.01	—	84.96	—	79.82
CORSES22026.01		91.14	—	83.67	—	77.68
SAM2026.01		90.09	—	76.02	—	49.19
Reweight-R2026.01		90.04	—	84.11	—	72.18
DMI2023.08		89.99	86.87	80.74	63.92	—
GCE2026.01		89.8	—	78.95	—	60.76
Co-teaching+2026.01		89.8	—	73.78	—	59.22
Forward2023.08		89.62	86.93	80.29	65.91	—
PartT2023.08		89.33	85.33	80.59	64.58	—
Peer Loss2026.01		89.12	—	83.26	—	74.53
Co-teaching2026.01		88.87	—	73	—	62.51
JoCoR2026.01		88.78	—	71.64	—	63.46
DMI2026.01		88.57	—	82.82	—	69.94
CoTeaching2023.08		88.43	86.4	80.85	62.63	—
TMDNN2023.08		88.14	84.55	79.71	63.33	—
Mixup2026.01		87.71	—	82.65	—	58.59
Forward T2026.01		87.22	—	79.37	—	66.56
CE2023.08		86.93	82.42	76.68	58.93	—
CE2026.01		83.93	—	67.64	—	43.83
CausalNL2023.08		81.47	80.38	77.53	67.39	—