Vector quantization inserted after the MobileUNETR encoder improves Cityscapes validation mIoU from 74.1% to 77.0% at 160K iterations while keeping the reported parameter count and FLOPs unchanged.
Segnet: A deep convolutional encoder-decoder architecture for image segmentation
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Lightweight Road Environment Segmentation using Vector Quantization
Vector quantization inserted after the MobileUNETR encoder improves Cityscapes validation mIoU from 74.1% to 77.0% at 160K iterations while keeping the reported parameter count and FLOPs unchanged.