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Image Classification on VTAB (test)

65.4Avg Accuracy

Big Transfer

Updated 1mo ago

Evaluation Results

Method	Links
Big Transfer 2022.06		65.4	69.4	81	54.5	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
BiT 2021.07		64.3	68.5	80.8	53	84.6	47.1	82.7	83.9	29.1	83.4	93.8	74.1	80.7	74.5	55.2	58.7	98.6	46.5	20.1	21.8	43.7	78.8
UpperCaSE 2022.06		58.4	69.1	80.3	39.4	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
UpperCaSE 2022.06		56.6	66.3	80.1	37.6	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
MD-Transfer 2022.06		55.6	52.4	72.9	49.3	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
MD-Transfer 2021.07		55.6	52.4	72.9	49.4	70.6	31.3	66.1	49.1	13.9	83.2	88.7	63.7	81.5	57.6	40.3	52.9	85.9	46.4	36.5	31.2	43	58.7
Simple CNAPs + LITE 2021.07		51.4	65.2	71.9	30.8	87.7	48.8	83.5	89.3	30.9	51	89.3	76.4	81.4	40.3	31.4	32.8	12.3	31.1	14.5	21	39.4	63.9
CTX 2021.07		50.5	61.1	67.3	34.1	84.2	37.5	81.8	70.9	24.8	67.2	86.4	67.7	79.8	35.5	27.9	29.6	23.2	46.9	37	21.6	31.9	54.3
ProtoMAML 2021.07		45	45.7	70.7	31.5	73.1	29.7	60.2	56.6	8.1	46.8	80.1	53.5	75.9	73.2	32.7	35.4	42	23	13.4	18.8	32.5	54.4
Simple CNAPs 2021.07		44.7	49.5	63.8	31.7	79.6	37.1	65.5	69.8	18	26.7	82.8	64.5	78.4	29.4	30.7	32.5	43.9	21.1	13.5	19.6	33.9	58.1
SUR 2022.06		43.7	50.9	66.2	27.2	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
SUR 2021.07		43.7	50.9	66.2	27.2	86.5	34.2	71.2	88.7	0.5	24.2	82.6	67.8	77.1	37.4	34.1	29.8	16.9	18.7	8.3	18.4	33.5	57.5
ProtoNets 2021.07		40.2	44	57.6	28.7	72	27.7	57.1	51	14.2	41.9	77.7	50.8	73.8	28	32	39.4	38.1	16.3	12.3	17.4	31.8	42.1