Methods | Verification Accuracy | Test Accuracy | Model Size |
---|---|---|---|
IncpetionV3 | 98. 55% | 98. 5% | 93MB |
MobileNetV2 | 98. 21% | 98. 4% | 24MB |
Eye Peripheral Data Set | Training Set | Verification Set | Test Set | Total sample | Sample Type |
---|---|---|---|---|---|
CASIA-Iris-Thousand | 42000 | 14000 | 14000 | 70000 | 1000 |
Parameter Types | Parameter Settings |
---|---|
Max number of steps | 20000 |
Batch size | 24 |
Learning rate | 0. 001 |
Learning rate decay type | fixed |
optimizer | RMSProp |
Weight decay | 0. 00004 |
Input | Operator | t | c | n | s |
---|---|---|---|---|---|
224×224×3 | Conv2d | - | 32 | 1 | 2 |
112×112×32 | Bottleneck | 1 | 16 | 1 | 1 |
112×112×16 | Bottleneck | 6 | 24 | 2 | 2 |
56×56×24 | Bottleneck | 6 | 32 | 3 | 2 |
28×28×32 | Bottleneck | 6 | 64 | 4 | 2 |
14×14×64 | Bottleneck | 6 | 96 | 3 | 1 |
14×14×96 | Bottleneck | 6 | 160 | 3 | 2 |
7×7×160 | Bottleneck | 6 | 320 | 1 | 1 |
7×7×320 | Conv2d 1×1 | - | 1280 | 1 | 1 |
7×7×1280 | Avg pool 7×7 | - | 1 | - | |
7×7×1280 | Conv2d 1×1 | - | 1000 | - |
Input | Operator | Output |
---|---|---|
H×W×N | 1×1 conv2d, ReLU6 | H×W×t N |
H×W×t N | 3×3 dwise s=s, ReLU6 | H/s ×W/s×t N |
H s ×W s ×t N | linear 1×1 conv2d | H/s ×W/s ×t N |
Parameter Types | Parameter Settings |
---|---|
Max number of steps | 100000 |
Batch size | 32 |
Learning rate | 0. 001 |
Learning rate decay type | Fixed |
optimizer | RMSProp |
Weight decay | 0. 00004 |
Type | Size of Convolution Kernel/Step Size |
---|---|
convolution | 3×3/2 |
convolution | 3×3/1 |
convolution | 3×3/1 |
pooling | 3×3/2 |
convolution | 3×3/1 |
convolution | 3×3/2 |
convolution | 3×3/1 |
Inception modules | 3 Inception Module |
Inception modules | 3 Inception Module |
Inception modules | 3 Inception Module |
pooling | 8×8 |
linear | logits |
Softmax | Classification of output |
Eye Peripheral Data Set | Original Training Set | Raw Verification Set | Raw Test Set | Total Original Sample | Original Sample Type |
---|---|---|---|---|---|
CASIA-Iris-Thousand | 6000 | 2000 | 2000 | 10000 | 1000 |