Image Retrieval on ImageNet-4K 1.0 (test) benchmark leaderboard · SOTA2 Research

Image Retrieval on ImageNet-4K 1.0 (test)

30.87Top-1 AccuracyMRL

Evaluation Results

Method	Links
MRL2022.05		30.87	54.32	64.02	17.2	13.43	11.14	9.19	23.97	21.28	19.28	17.3
MRL Interpolated2022.05		30.52	54.02	63.79	16.99	13.27	11.01	9.08	23.73	21.09	19.12	17.16
MRL2022.05		30.23	53.72	63.45	16.76	13.08	10.86	8.97	23.48	20.88	18.93	17
MRL Interpolated2022.05		29.87	53.36	63.13	16.54	12.9	10.71	8.85	23.23	20.67	18.75	16.85
MRL2022.05		29.46	53.03	62.81	16.29	12.7	10.55	8.72	22.96	20.42	18.54	16.68
MRL Interpolated2022.05		29.03	52.53	62.45	15.99	12.46	10.35	8.56	22.64	—	18.29	16.47
MRL2022.05		28.53	51.95	61.9	15.66	12.19	10.12	8.38	22.28	19.81	18.01	16.22
MRL Interpolated2022.05		27.94	51.32	61.32	15.29	11.89	9.88	8.18	21.86	19.46	17.71	15.96
MRL2022.05		27.27	50.35	60.47	14.77	11.47	9.53	7.91	21.25	18.95	17.26	15.59
MRL Interpolated2022.05		26.25	49.32	59.48	14.15	11	9.15	7.61	20.55	18.36	16.78	15.17
MRL2022.05		25	47.97	58.25	13.38	10.4	8.67	7.23	19.68	17.64	16.14	14.65
MRL Interpolated2022.05		23.51	46.23	56.56	12.49	9.72	8.13	6.81	18.62	16.75	15.39	14.04
MRL2022.05		21.54	43.75	54.11	11.36	8.88	7.47	6.31	17.25	15.67	14.47	13.27
MRL Interpolated2022.05		19.49	40.82	51.26	10.17	7.98	6.75	5.75	15.76	14.43	13.42	12.4
MRL2022.05		16.74	36.91	47.28	8.64	6.83	5.84	5.05	13.82	12.79	12.04	11.27
MRL Interpolated2022.05		14.04	32.56	42.71	7.16	5.7	4.92	4.32	11.81	11.08	10.52	9.94
MRL2022.05		10.6	26.23	35.57	5.32	4.29	3.76	3.36	9.13	8.77	8.46	8.13