Aggregated Residual Transformations for Deep Neural Networks

Benchmark Model Rank Results
domain-generalization-on-vizwizResNeXt-101 32x16d#3Accuracy - All Images: 51.7Accuracy - Corrupted Images: 48.1
image-classification-on-gashissdbResNeXt-50-32x4d#3Accuracy: 98.59Precision: 99.94F1-Score: 99.25
image-classification-on-imagenetResNeXt-101 64x4#645Top 1 Accuracy: 80.9%Number of params: 83.6MGFLOPs: 31.5