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BowTied_Raptor|Data Science & Machine Learning 101

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2 months ago

if your model is failing to generalize rotated, scaled, or zoomed-in objects, here's a few things you can try Try spatial transformer networks or equivariant models: these learn to handle geometric variance Check convolution stride/padding: over-aggressive downsampling can ruin

if your model is failing to generalize rotated, scaled, or zoomed-in objects, here's a few things you can try Try spatial transformer networks or equivariant models: these learn to handle geometric variance Check convolution stride/padding: over-aggressive downsampling can ruin