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- .gitattributes +24 -0
- 11.log +152 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1014.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1027.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_113.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1136.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1304.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1308.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1373.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1738.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1925.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2077.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2239.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_226.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2271.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_235.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2375.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2426.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2488.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2512.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2648.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2865.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2960.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_2988.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3005.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3066.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3413.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3492.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3510.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3518.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3697.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3712.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3725.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3751.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3752.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_377.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_3775.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4100.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4144.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4289.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4340.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4346.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4433.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4640.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4666.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4676.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_469.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4760.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_484.png +3 -0
- CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_4923.png +3 -0
.gitattributes
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| 1 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 2 |
+
the beta is 1.0
|
| 3 |
+
load pre-trained model
|
| 4 |
+
load data
|
| 5 |
+
obtain text proxy
|
| 6 |
+
accuracy with text proxy: 41.91
|
| 7 |
+
online zero-shot transfer: repeat 5 times
|
| 8 |
+
lam is 0.7000
|
| 9 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 10 |
+
the beta is 1.0
|
| 11 |
+
load pre-trained model
|
| 12 |
+
load data
|
| 13 |
+
obtain text proxy
|
| 14 |
+
accuracy with text proxy: 41.91
|
| 15 |
+
online zero-shot transfer: repeat 5 times
|
| 16 |
+
lam is 0.7000
|
| 17 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 18 |
+
the beta is 1.0
|
| 19 |
+
load pre-trained model
|
| 20 |
+
load data
|
| 21 |
+
obtain text proxy
|
| 22 |
+
accuracy with text proxy: 41.91
|
| 23 |
+
online zero-shot transfer: repeat 5 times
|
| 24 |
+
lam is 0.7000
|
| 25 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 26 |
+
the beta is 1.0
|
| 27 |
+
load pre-trained model
|
| 28 |
+
load data
|
| 29 |
+
obtain text proxy
|
| 30 |
+
accuracy with text proxy: 41.91
|
| 31 |
+
online zero-shot transfer: repeat 5 times
|
| 32 |
+
lam is 0.7000
|
| 33 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 34 |
+
the beta is 1.0
|
| 35 |
+
load pre-trained model
|
| 36 |
+
load data
|
| 37 |
+
obtain text proxy
|
| 38 |
+
accuracy with text proxy: 41.91
|
| 39 |
+
online zero-shot transfer: repeat 5 times
|
| 40 |
+
lam is 0.7000
|
| 41 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 42 |
+
the beta is 1.0
|
| 43 |
+
load pre-trained model
|
| 44 |
+
load data
|
| 45 |
+
obtain text proxy
|
| 46 |
+
accuracy with text proxy: 41.91
|
| 47 |
+
online zero-shot transfer: repeat 5 times
|
| 48 |
+
lam is 0.7000
|
| 49 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 50 |
+
the beta is 1.0
|
| 51 |
+
load pre-trained model
|
| 52 |
+
load data
|
| 53 |
+
obtain text proxy
|
| 54 |
+
accuracy with text proxy: 41.91
|
| 55 |
+
online zero-shot transfer: repeat 5 times
|
| 56 |
+
lam is 0.7000
|
| 57 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 58 |
+
the beta is 1.0
|
| 59 |
+
load pre-trained model
|
| 60 |
+
load data
|
| 61 |
+
obtain text proxy
|
| 62 |
+
accuracy with text proxy: 41.91
|
| 63 |
+
online zero-shot transfer: repeat 5 times
|
| 64 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 65 |
+
the beta is 1.0
|
| 66 |
+
load pre-trained model
|
| 67 |
+
load data
|
| 68 |
+
obtain text proxy
|
| 69 |
+
accuracy with text proxy: 41.91
|
| 70 |
+
online zero-shot transfer: repeat 5 times
|
| 71 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 72 |
+
the beta is 1.0
|
| 73 |
+
load pre-trained model
|
| 74 |
+
load data
|
| 75 |
+
obtain text proxy
|
| 76 |
+
accuracy with text proxy: 41.91
|
| 77 |
+
online zero-shot transfer: repeat 5 times
|
| 78 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 79 |
+
the beta is 1.0
|
| 80 |
+
load pre-trained model
|
| 81 |
+
load data
|
| 82 |
+
obtain text proxy
|
| 83 |
+
accuracy with text proxy: 41.91
|
| 84 |
+
online zero-shot transfer: repeat 5 times
|
| 85 |
+
lam is 0.7000
|
| 86 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 87 |
+
the beta is 1.0
|
| 88 |
+
load pre-trained model
|
| 89 |
+
load data
|
| 90 |
+
obtain text proxy
|
| 91 |
+
accuracy with text proxy: 41.91
|
| 92 |
+
online zero-shot transfer: repeat 5 times
|
| 93 |
+
lam is 0.7000
|
| 94 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 95 |
+
the beta is 1.0
|
| 96 |
+
load pre-trained model
|
| 97 |
+
load data
|
| 98 |
+
obtain text proxy
|
| 99 |
+
accuracy with text proxy: 41.91
|
| 100 |
+
online zero-shot transfer: repeat 5 times
|
| 101 |
+
lam is 0.7000
|
| 102 |
+
lam is 0.7000
|
| 103 |
+
lam is 0.7000
|
| 104 |
+
lam is 0.7000
|
| 105 |
+
lam is 0.7000
|
| 106 |
+
mean acc of onlab is: 47.23
|
| 107 |
+
mean acc of onzeta is: 9.29
|
| 108 |
+
mean acc of MAPLS is: 17.81
|
| 109 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.05)
|
| 110 |
+
the beta is 0.9
|
| 111 |
+
load pre-trained model
|
| 112 |
+
load data
|
| 113 |
+
obtain text proxy
|
| 114 |
+
accuracy with text proxy: 41.91
|
| 115 |
+
online zero-shot transfer: repeat 5 times
|
| 116 |
+
lam is 0.7000
|
| 117 |
+
lam is 0.7000
|
| 118 |
+
lam is 0.7000
|
| 119 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.0)
|
| 120 |
+
the beta is 1.0
|
| 121 |
+
load pre-trained model
|
| 122 |
+
load data
|
| 123 |
+
obtain text proxy
|
| 124 |
+
accuracy with text proxy: 41.91
|
| 125 |
+
online zero-shot transfer: repeat 5 times
|
| 126 |
+
lam is 0.7000
|
| 127 |
+
lam is 0.7000
|
| 128 |
+
lam is 0.7000
|
| 129 |
+
lam is 0.7000
|
| 130 |
+
lam is 0.7000
|
| 131 |
+
mean acc of onlab is: 47.14
|
| 132 |
+
mean acc of onzeta is: 9.65
|
| 133 |
+
mean acc of MAPLS is: 17.93
|
| 134 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.0)
|
| 135 |
+
the beta is 0.9
|
| 136 |
+
load pre-trained model
|
| 137 |
+
load data
|
| 138 |
+
obtain text proxy
|
| 139 |
+
accuracy with text proxy: 41.91
|
| 140 |
+
online zero-shot transfer: repeat 5 times
|
| 141 |
+
lam is 0.7000
|
| 142 |
+
lam is 0.7000
|
| 143 |
+
lam is 0.7000
|
| 144 |
+
lam is 0.7000
|
| 145 |
+
lam is 0.7000
|
| 146 |
+
mean acc of onlab is: 47.14
|
| 147 |
+
mean acc of onzeta is: 12.26
|
| 148 |
+
mean acc of MAPLS is: 12.58
|
| 149 |
+
Namespace(data_path='./CIFAR100_TEST', arch='RN50', workers=8, batch_size=256, tau_t=0.01, tau_i=0.04, cw=0.5, cr=20, alpha=1, beta=0.4, repeat=5, entropy_weight=0.0)
|
| 150 |
+
the beta is 0.8
|
| 151 |
+
load pre-trained model
|
| 152 |
+
load data
|
CIFAR100_TEST/apple/0_4_&apple&_fruit_and_vegetables_1014.png
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