ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

Benchmark Model Rank Results
image-classification-on-imagenetESPNetv2#903Top 1 Accuracy: 74.9%Number of params: 5.9MGFLOPs: 0.602
semantic-segmentation-on-cityscapesESPNetv2#86Mean IoU (class): 66.2%
semantic-segmentation-on-pascal-voc-2012ESPNetv2#38Mean IoU: 68.0%