model training via adaptation andrew howard – howard vision technologies

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Model Training Via Adaptation Andrew Howard – Howard Vision Technologies Base Low Res High Res Base FC X3 Low Res Val Adapted High Res Val Adapted Base FC X3 Val Adapted Train All Layers on Size 256 Images Adapt All Layers to Size 150 Images Train Large FC Layers on Size 256 Images Adapt All Layers to Size 448 Images Adapt Fully Connected Layers to Validation Set 256 Adapt Fully Connected Layers to Validation Set 448 Adapt Fully Connected Layers to Validation Set 150

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Model Training Via Adaptation Andrew Howard – Howard Vision Technologies. Low Res Val Adapted. Low Res. Adapt All Layers to Size 150 Images. Adapt Fully Connected Layers to Validation Set 150. Base FC X3 Val Adapted. Base FC X3. Base. Train All Layers on Size 256 Images. - PowerPoint PPT Presentation

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Page 1: Model Training Via Adaptation  Andrew Howard – Howard Vision Technologies

Model Training Via Adaptation Andrew Howard – Howard Vision Technologies

Base

Low Res

High Res

Base FC X3

Low ResVal Adapted

High ResVal Adapted

Base FC X3 Val Adapted

Train All Layers on Size 256 Images

Adapt All Layersto Size 150 Images

Train Large FC Layerson Size 256 Images

Adapt All Layers to Size 448 ImagesNo Drop Out

Adapt Fully Connected Layersto Validation Set 256

Adapt Fully Connected Layersto Validation Set 448 No Drop Out

Adapt Fully Connected Layersto Validation Set 150

Page 2: Model Training Via Adaptation  Andrew Howard – Howard Vision Technologies

Predictions with Dense Grids at Multiple Scales

Andrew Howard – Howard Vision Technologies

Low ResVal Adapted

High ResVal Adapted

Base FC X3 Val Adapted

Thanks to