Foveated resampling retains 92% of full-size foveal recall at 128x128 while uniform downsampling retains only 50%, giving a 4x speedup on a Jetson TX2.
PLoS Computational Biology 13(10), e1005743 (2017)
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Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks
Foveated resampling retains 92% of full-size foveal recall at 128x128 while uniform downsampling retains only 50%, giving a 4x speedup on a Jetson TX2.