ENOT-AutoDL
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imagenet-benchmark

Image Classification

Inference Endpoints

Model card Files Files and versions Community

andreysher commited on Oct 9, 2023

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Change model order

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@@ -36,8 +36,8 @@ Evaluation code is also based on Torchvision references.
 | Model                       | Latency (MMACs) | Accuracy (%)  |
 |-----------------------------|:---------------:|:-------------:|
 | **MobileNetV2 Torchvision** |     334.23      |     71.88     |
-| **MobileNetV2 ENOT (x2.1)** | 156.80 (x2.13)  | 69.90 (-1.98) |
 | **MobileNetV2 ENOT (x1.6)** | 209.40 (x1.59)  | 70.68 (-1.2)  |
 # Validation

 | Model                       | Latency (MMACs) | Accuracy (%)  |
 |-----------------------------|:---------------:|:-------------:|
 | **MobileNetV2 Torchvision** |     334.23      |     71.88     |
 | **MobileNetV2 ENOT (x1.6)** | 209.40 (x1.59)  | 70.68 (-1.2)  |
+| **MobileNetV2 ENOT (x2.1)** | 156.80 (x2.13)  | 69.90 (-1.98) |
 # Validation