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

Predictions with Dense Grids at Multiple Scales

Andrew Howard – Howard Vision Technologies

Low ResVal Adapted

High ResVal Adapted

Base FC X3 Val Adapted

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