Human-inspired Global-to-Parallel Multi-scale Encoding for Lightweight Vision Models

Benchmark Model Rank Results
image-classification-on-imagenetH-GPE-N–Top 1 Accuracy: 73.7%
image-classification-on-imagenetH-GPE-S–Top 1 Accuracy: 79.1%
image-classification-on-imagenetH-GPE-T–Top 1 Accuracy: 76.6%