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Image Retrieval on ImageNet-4K 1.0 (test)

30.87Top-1 AccuracyMRL
9.789215.262120.73526.2079May 26, 2022

Evaluation results

MethodLinks
MRLDs=2048, MFLOPs=86062022.0530.8754.3264.0217.213.4311.149.1923.9721.2819.2817.3
MRL InterpolatedDs=1536, MFLOPs=64542022.0530.5254.0263.7916.9913.2711.019.0823.7321.0919.1217.16
MRLDs=1024, MFLOPs=43032022.0530.2353.7263.4516.7613.0810.868.9723.4820.8818.9317
MRL InterpolatedDs=768, MFLOPs=32272022.0529.8753.3663.1316.5412.910.718.8523.2320.6718.7516.85
MRLDs=512, MFLOPs=21512022.0529.4653.0362.8116.2912.710.558.7222.9620.4218.5416.68
MRL InterpolatedDs=384, MFLOPs=16142022.0529.0352.5362.4515.9912.4610.358.5622.64—18.2916.47
MRLDs=256, MFLOPs=10762022.0528.5351.9561.915.6612.1910.128.3822.2819.8118.0116.22
MRL InterpolatedDs=192, MFLOPs=8072022.0527.9451.3261.3215.2911.899.888.1821.8619.4617.7115.96
MRLDs=128, MFLOPs=5382022.0527.2750.3560.4714.7711.479.537.9121.2518.9517.2615.59
MRL InterpolatedDs=96, MFLOPs=4032022.0526.2549.3259.4814.15119.157.6120.5518.3616.7815.17
MRLDs=64, MFLOPs=2692022.052547.9758.2513.3810.48.677.2319.6817.6416.1414.65
MRL InterpolatedDs=48, MFLOPs=2022022.0523.5146.2356.5612.499.728.136.8118.6216.7515.3914.04
MRLDs=32, MFLOPs=1342022.0521.5443.7554.1111.368.887.476.3117.2515.6714.4713.27
MRL InterpolatedDs=24, MFLOPs=1012022.0519.4940.8251.2610.177.986.755.7515.7614.4313.4212.4
MRLDs=16, MFLOPs=672022.0516.7436.9147.288.646.835.845.0513.8212.7912.0411.27
MRL InterpolatedDs=12, MFLOPs=502022.0514.0432.5642.717.165.74.924.3211.8111.0810.529.94
MRLDs=8, MFLOPs=342022.0510.626.2335.575.324.293.763.369.138.778.468.13