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ResearchFormerly WizWand

Image Classification on ILSVRC 2015 (val)

76.71Top-1 Acc (C_large)Learning like a Child

Evaluation results

Method	Links
Learning like a Child2017.06		76.71	93.24	2.9	17.14
Learning like a Child2017.06		76.68	93.17	11.54	37.68
Learning like a Child2017.06		76.55	93	18.56	50.7
Fine-Tuned ResNet2017.06		76.28	93.17	2.82	13.3
Fine-Tuned ResNet2017.06		76.27	93.13	10.32	30.34
Fine-Tuned ResNet2017.06		76.25	93.07	16.76	39.92
Ours-phi2*2017.06		75.63	92.92	14.32	33.84
Ours-phi2*2017.06		75.44	92.74	18.7	43.92
Ours-phi2*2017.06		75.34	92.6	22.32	49.76
Ours-phi22017.06		74.17	91.79	21.58	45.82
Ours-phi22017.06		73.43	91.13	27.44	55.86
Ours-phi22017.06		72.98	90.59	31.2	61.44
Ours-phi12017.06		72.56	91.12	19.88	43.2
Ours-phi12017.06		71.94	90.62	25.54	52.98
Ours-phi12017.06		71.56	90.21	28.72	58.5
NN + Cosine2017.06		71.54	91.2	1.72	5.86
NN + Cosine2017.06		71.54	91.2	3.34	9.88
NN + Cosine2017.06		71.54	91.2	4.58	12.72
Triplet Network2017.06		70.47	90.61	1.26	4.94
Triplet Network2017.06		70.47	90.61	2.34	8.3
Triplet Network2017.06		70.47	90.61	3.22	11.48
NN + Cosine2017.06		67.68	88.9	4.42	13.36
NN + Cosine2017.06		67.66	88.89	7.6	19.94
NN + Cosine2017.06		67.65	88.88	9.86	24.96
Triplet Network2017.06		66.64	88.42	3.48	11.4
Triplet Network2017.06		66.63	88.41	6.1	17.46
Triplet Network2017.06		66.62	88.4	8.52	22.52
NN + Cosine2017.06		61.11	85.11	10.42	25.88
NN + Cosine2017.06		61.04	85.04	15.14	35.7
NN + Cosine2017.06		60.97	84.95	18.68	42.16
Triplet Network2017.06		60.09	84.83	8.84	22.24
Triplet Network2017.06		60.02	84.74	13.42	32.38
Triplet Network2017.06		59.97	84.66	17.08	38.06