Class-Incremental Learning on NSynth 100 (test) benchmark leaderboard · SOTA2 Research

Class-Incremental Learning on NSynth 100 (test)

100Accuracy (Session 0)DSN

Evaluation Results

Method	Links
DSN2026.07		100	98.05	97.32	95.27	93.56	92.78	91.16	90.53	90.05	88.89	93.76	11.11
iCaRL2026.07		99.98	93.3	88.88	84.82	79.57	67.65	65.92	59.65	54.62	51.01	74.54	48.97
PAN2026.07		99.98	98.32	97.69	95.18	94	92.73	90.59	89.24	88.28	87.08	93.31	12.9
Ours2026.07		99.98	99	97.77	96.58	95.43	94.93	93.39	92.42	92.13	91.77	95.34	8.21
Finetune-C2026.07		99.96	86.12	79.43	74.61	66.23	43.21	50.31	44.21	42.23	40.37	62.67	59.59
Finetune-M2026.07		99.96	84.73	76.92	71.06	63.18	40.15	47.99	38.33	38.01	37.86	59.82	62.1
CEC2026.07		99.96	97.47	95.56	93.52	91.22	89.9	87.85	85.84	84.92	83.19	90.94	16.77
ARP2026.07		99.96	95.95	93.6	92.06	90.32	89.14	86.16	83.47	82.28	79.69	89.26	20.27
AMFO2026.07		99.95	98.92	97.54	96.54	95.25	94.31	92.52	92.26	92.03	91	95.03	8.95
DFSL2026.07		99.93	96	92.95	89.26	86.47	83.66	80.28	77.68	76.12	75.01	85.74	24.92
CLOM2026.07		99.91	96.55	94.42	92.26	90.51	89.8	87.75	86.41	85.4	83.74	90.67	16.17
FACT2026.07		99.73	96.52	94.52	92.96	90.37	89.37	86.48	85.01	84.41	82.98	90.24	16.75
LDC2026.07		99.71	97.32	94.09	92.57	90.16	89.49	87.85	86.71	86.25	84.87	90.9	14.84