TransNeXt-Base (IN-1K supervised, 224)

Reported on 2 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology1 result

Domain AdaptationonImageNet-A
Top-1 accuracy %· 2023-11-28
50.6
best: 94.17 (Model soups (BASIC-L))
TransNeXt: Robust Foveal Visual Perception for Vision Transformers arXiv:2311.17132

Computer Vision1 result

Domain GeneralizationonImageNet-A
Top-1 accuracy %· 2023-11-28
50.6
best: 94.17 (Model soups (BASIC-L))
TransNeXt: Robust Foveal Visual Perception for Vision Transformers arXiv:2311.17132