Image Classification on ImageNet (Acc, ASR, FR, ACR) benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet (Acc, ASR, FR, ACR)

76.19AccuracyBenign

Evaluation Results

Method	Links
Benign2025.06		76.19	—	—	—
CLIP2025.07		75.3	—	—	—
GAMA2025.06		74.42	5.35	10.96	9.67
GAMA + SCGA2025.06		74.31	5.65	11.6	10.17
FACL2025.06		74.23	5.68	11.57	9.94
FACL + SCGA2025.06		74.21	5.69	11.42	9.9
PDCL + SCGA2025.06		74.17	5.92	11.91	10.45
PDCL2025.06		74.04	6.16	12.26	10.66
BIA + SCGA2025.06		73.85	6.36	12.63	10.52
BIA2025.06		73.84	6.37	12.46	19.51
GAMA2025.06		73.36	6.94	13.16	10.32
FACL + SCGA2025.06		73.11	7.34	13.62	10.51
FACL2025.06		73.09	7.38	13.76	10.58
GAMA + SCGA2025.06		73.05	7.49	13.96	10.73
PDCL + SCGA2025.06		72.97	7.62	14.17	10.83
LongCLIP2025.07		72.9	—	—	—
BIA2025.06		72.89	7.79	14.41	11.02
PDCL2025.06		72.8	7.9	14.54	11
BIA + SCGA2025.06		72.63	8.18	14.97	11.21
SmartCLIP2025.07		72.5	—	—	—
GAMA2025.06		72.3	8.53	15.35	10.96
LTP2025.06		72.19	8.82	15.59	11.42
FACL + SCGA2025.06		72	8.98	15.81	11.11
FACL2025.06		71.95	9.07	15.94	11.22
BIA2025.06		71.93	9.2	16.35	11.53
LTP + SCGA2025.06		71.78	9.45	16.34	11.69
GAMA + SCGA2025.06		71.78	9.32	16.32	11.29
PDCL + SCGA2025.06		71.76	9.32	16.43	11.2
PDCL2025.06		71.55	9.63	16.82	11.34
BIA + SCGA2025.06		71.4	10	17.31	11.89
CDA2025.06		71.14	10.29	17.45	11.73
CDA + SCGA2025.06		70.9	10.73	18.15	12.11
LTP2025.06		69.92	12.02	19.37	12.13
CDA2025.06		69.09	13.11	20.73	12.13
LTP + SCGA2025.06		68.65	13.71	21.16	12.16
CDA + SCGA2025.06		68.53	13.9	21.7	12.31
LTP2025.06		67.65	15.22	23.15	12.83
CDA2025.06		67.04	15.94	24	12.53
CDA + SCGA2025.06		66.16	17.07	25.25	12.51
LTP + SCGA2025.06		65.51	17.97	25.98	12.63