Pārlūkot izejas kodu

Fix benchmark format

nagadomi 6 gadi atpakaļ
vecāks
revīzija
f2a7be3a1f
1 mainītis faili ar 14 papildinājumiem un 15 dzēšanām
  1. 14 15
      appendix/benchmark.md

+ 14 - 15
appendix/benchmark.md

@@ -21,6 +21,13 @@ Urban100: https://github.com/jbhuang0604/SelfExSR
 | BSD100        | 29.558        | 31.427        | 31.640           | 31.749           | 31.847             |
 | Urban100      | 26.852        | 30.057        | 30.477           | 30.759           | 31.016             |
 
+### 2x - benchmark elapsed time (sec)
+
+| Dataset/Model | vgg\_7/photo  | upconv\_7/photo  | upconv\_7l/photo | resnet_14l/photo |
+|---------------|---------------|------------------|------------------|--------------------|
+| BSD100        | 4.057         | 2.509            | 4.947            | 6.86               |
+| Urban100      | 16.349        | 7.083            | 14.178           | 27.87              |
+
 ### 2x with TTA - PSNR 
 
 Note: TTA is an ensemble technique that is supported by waifu2x. TTA method is 8x slower than non TTA method but it improves PSNR (~+0.1 on photo, ~+0.4 on art).
@@ -30,13 +37,6 @@ Note: TTA is an ensemble technique that is supported by waifu2x. TTA method is 8
 | BSD100        | 29.558        | 31.474        | 31.705           | 31.812           | 31.915             |
 | Urban100      | 26.852        | 30.140        | 30.599           | 30.868           | 31.162             |
 
-### 2x - benchmark elapsed time (sec)
-
-| Dataset/Model | vgg\_7/photo  | upconv\_7/photo  | upconv\_7l/photo | resnet_14l/photo |
-|---------------|---------------|------------------|------------------|--------------------|
-| BSD100        | 4.057         | 2.509            | 4.947            | 6.86               |
-| Urban100      | 16.349        | 7.083            | 14.178           | 27.87              |
-
 ### 2x with TTA - benchmark elapsed time (sec)
 
 | Dataset/Model | vgg\_7/photo  | upconv\_7/photo  | upconv\_7l/photo | resnet_14l/photo |
@@ -61,6 +61,12 @@ art_test: This dataset contains 84 various fan-arts. Sorry, This dataset is priv
 | Catrom(Bicubic)| 30.663        | 37.278      | 37.189         | 40.184         |
 | Box            | 30.891        | 37.709      | 38.410         | 39.672         |
 
+### 2x - benchmark elapsed time (sec)
+
+| Dataset/Model | vgg\_7/art  | upconv\_7/art  | cunet/art | 
+|---------------|-------------|----------------|----------------|
+| art_test      | 24.153      | 10.794         | 24.222         |
+
 ### 2x with TTA - PSNR 
 
 | Filter/Model   | Bicubic       | vgg\_7/art  | upconv\_7/art  | cunet/art      | 
@@ -70,15 +76,8 @@ art_test: This dataset contains 84 various fan-arts. Sorry, This dataset is priv
 | Catrom(Bicubic)| 30.663        | 37.498      | 37.417         | 40.592         |
 | Box            | 30.891        | 38.032      | 38.768         | 40.032         |
 
-
-### 2x - benchmark elapsed time (sec)
-
-| Dataset/Model | vgg\_7/art  | upconv\_7/art  | cunet/art | 
-|---------------|-------------|----------------|----------------|
-| art_test      | 24.153      | 10.794         | 24.222         |
-
 ### 2x with TTA - benchmark elapsed time (sec)
 
-| Dataset/Model | vgg\_7/art  | upconv\_7/art  | upconv\_7l/art | 
+| Dataset/Model | vgg\_7/art  | upconv\_7/art  | cunet/art       | 
 |---------------|-------------|----------------|----------------|
 | art_test      | 207.217     | 99.151         | 211.520        |