Results.xlsx

	A	B	C	D	E	F	G	H	I	J	K	L	M	N
1	Index	Method	OxfordPets	Flowers102	FGVCAircraft	DTD	EuroSAT	StanfordCars	Food101	SUN397	Caltech101	UCF101	ImageNet	Average
2	0	Handcrafted prompt	85.77	66.14	17.28	42.32	37.56	55.61	77.31	58.52	86.29	61.46	58.18
3	1
4	2	[V]x16, pos=end, shots=1	85.89	68.12	9.64	44.39	50.63	55.59	74.32	60.29	87.53	61.92	57.15
5	3	[V]x16, pos=end, shots=2	82.64	77.51	18.68	45.15	61.50	58.28	72.49	59.48	87.93	64.09	57.81
6	4	[V]x16, pos=end, shots=4	86.70	86.20	21.87	53.49	70.18	62.62	73.33	63.47	89.55	67.03	59.99
7	5	[V]x16, pos=end, shots=8	85.32	91.18	26.13	59.97	76.73	68.43	71.82	65.52	90.21	71.94	61.56
8	6	[V]x16, pos=end, shots=16	87.01	94.51	31.26	63.58	83.53	73.36	74.67	69.26	91.83	75.71	62.95
9	7	[V]x16, pos=mid, shots=1	85.55	69.48	6.58	41.86	53.26	56.02	72.43	59.28	86.52	61.47	57.33
10	8	[V]x16, pos=mid, shots=2	80.57	79.40	14.18	45.92	60.68	57.09	71.06	59.55	87.30	65.05	58.42
11	9	[V]x16, pos=mid, shots=4	86.06	86.52	22.02	52.72	70.93	61.62	72.64	63.67	88.53	67.06	59.96
12	10	[V]x16, pos=mid, shots=8	83.58	91.81	28.18	59.14	77.65	67.32	72.04	65.64	90.33	72.74	62.04
13	11	[V]x16, pos=mid, shots=16	86.16	94.80	32.29	63.16	83.55	73.27	74.46	69.12	91.62	75.29	63.08
14	12	[V]x16, pos=end, CSC, shots=1	64.65	62.89	14.61	31.54	49.67	34.14	50.63	36.95	71.40	45.04	32.40
15	13	[V]x16, pos=end, CSC, shots=2	66.89	78.82	17.70	39.64	58.45	42.39	54.86	45.19	76.56	52.96	38.80
16	14	[V]x16, pos=end, CSC, shots=4	74.91	87.10	22.90	49.96	70.45	53.33	60.26	53.31	83.42	60.36	44.93
17	15	[V]x16, pos=end, CSC, shots=8	76.12	92.61	29.52	58.33	78.00	63.06	64.52	58.41	86.71	67.42	50.11
18	16	[V]x16, pos=end, CSC, shots=16	81.10	95.59	36.93	62.87	84.55	72.20	70.02	63.83	90.58	73.23	54.57
19	17	[V]x16, pos=mid, CSC, shots=1	65.07	62.58	14.04	28.92	48.79	34.26	46.92	35.66	69.20	42.72	31.01
20	18	[V]x16, pos=mid, CSC, shots=2	66.69	76.79	18.48	39.66	58.99	42.61	53.06	44.77	76.65	52.28	38.19
21	19	[V]x16, pos=mid, CSC, shots=4	74.35	87.04	22.92	50.37	70.55	53.68	59.71	53.04	83.31	59.23	44.67
22	20	[V]x16, pos=mid, CSC, shots=8	75.96	92.53	29.47	57.84	78.37	63.22	64.55	58.31	86.33	67.97	50.29
23	21	[V]x16, pos=mid, CSC, shots=16	80.87	95.52	37.48	62.57	84.87	72.32	70.04	63.76	90.57	73.35	54.65
24	22	linear probe CLIP, shots=1	30.14	58.07	12.89	29.59	51.00	24.64	30.13	32.80	70.62	41.43	22.07
25	23	linear probe CLIP, shots=2	43.47	73.35	17.85	39.48	61.58	36.53	42.79	44.44	78.72	53.55	31.95
26	24	linear probe CLIP, shots=4	56.35	84.80	23.57	50.06	68.27	48.42	55.15	54.59	84.34	62.23	41.29
27	25	linear probe CLIP, shots=8	65.94	92.00	29.55	56.56	76.93	60.82	63.82	62.17	87.78	69.64	49.55
28	26	linear probe CLIP, shots=16	76.42	94.95	36.39	63.97	82.76	70.08	70.17	67.15	90.63	73.72	55.87
29	27
30	28
31	29
32	30		oxford_pets	oxford_flowers	fgvc_aircraft	describable textures	eurosat	stanford_cars	food101	sun397	caltech101	ucf101	imagenet
33	31	How many context words to use?	OxfordPets	Flowers102	FGVCAircraft	DTD	EuroSAT	StanfordCars	Food101	SUN397	Caltech101	UCF101	ImageNet
34	32	[V]x4, pos=end, shots=16	87.12	93.18	28.47	62.92	83.08	69.36	76.56	69.19	91.44	74.51	63.33	72.65
35	33	[V]x8, pos=end, shots=16	86.75	94.29	30.02	62.98	83.41	71.33	75.58	69.57	92.02	75.99	63.27	73.20
36	34	[V]x16, pos=end, shots=16	87.01	94.51	31.26	63.58	83.53	73.36	74.67	69.26	91.83	75.71	62.95	73.42
37	35	[V]x4, pos=mid, shots=16	86.73	92.83	28.45	63.02	81.72	68.93	76.62	68.91	91.71	75.66	63.24	72.53
38	36	[V]x8, pos=mid, shots=16	86.49	94.29	31.11	63.67	84.00	71.41	75.67	69.10	91.79	74.91	63.22	73.24
39	37	[V]x16, pos=mid, shots=16	86.16	94.80	32.29	63.16	83.55	73.27	74.46	69.12	91.62	75.29	63.08	73.35
40	38
41	39	Context initialization
42	40	a photo of a {CLASS}	86.37	92.53	28.16	63.24	83.32	69.36	77.12	69.05	91.48	75.36	63.11	72.65
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