Migrations
/
pytorch-image-models
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
802 Commits
41 Branches
41 Tags
28 MiB
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '624c9b6949'
${ noResults }
Commit Graph

30 Commits (624c9b6949499a60653df6285d29852f36ab70a8)

Author SHA1 Message Date
Ross Wightman 95feb1da41 Update results csvs, run with PyTorch 1.7.1 cuda 10.2, some differences from prev run with older PT ver.
4 years ago
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Ross Wightman a7d0a8b5b2 Update results csv files with latest models, incl 101D, 152D, 200D, SE152D ResNets and yet to be merged BiT and ViT-R50 models.
4 years ago
Ross Wightman e553480b67 Add 21843 synset txt for google 21k models like BiT/ViT
4 years ago
Ross Wightman da1b90e5c9 Update results csvs with latest run
4 years ago
Ross Wightman b496b7bde9 Re-ran batch validation on all models across all sets
4 years ago
Ross Wightman ad150e7018 Update results csv file rank/diff script and small validate script tweak for batch validation
4 years ago
Ross Wightman c53ec33ae0 Add synset/label indices for results generation. Add 'valid labels' to validation script to support imagenet-a/r label subsets properly.
4 years ago
Ross Wightman 4805dd1e79 Fix incorrect dataset name, add new datasets to results delta script
4 years ago
Ross Wightman 6be878c22a Update results README to include robustness and real labels tests. Include labels files used in results gen.
4 years ago
KushajveerSingh 5699e8429f set precision=2 in param_count
4 years ago
KushajveerSingh 6526ccb4a7 set precision=3 in results
4 years ago
KushajveerSingh 856f6181f7 add {rank,top1,top5}_diff in results
4 years ago
Ross Wightman b41b8d0108 Update results csv files
5 years ago
Ross Wightman 31f4c126ec Add EfficientNet pruned models to results files
5 years ago
Ross Wightman 779cb0fcc0 Update results with new models
5 years ago
Ross Wightman 91e2b33d72 Update results with latest NoisyStudent models and SelectiveKernel models
5 years ago
Ross Wightman 5c85389e26
Update README.md
5 years ago
Ross Wightman 820b73d280
Update README.md
5 years ago
Ross Wightman 82c0a2ff12
Update README.md
5 years ago
Ross Wightman 1ffd2d0694
Add results/README.md
5 years ago
Ross Wightman 7c88356682 Add update results on ImageNet validation, ImageNetV2, ImageNet-A, and ImageNet-Sketch for all models
5 years ago
Ross Wightman 82dd60b33c Rename results files for more clarity
5 years ago
Ross Wightman 00b93407c7 Update results-all.csv with latest models/weights
5 years ago
Ross Wightman 3bef524f9c Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
5 years ago
Ross Wightman 32a0ca03c8 Update csv results files
5 years ago
Ross Wightman 0c874195db Update results csv files, bump version for timm pip release
5 years ago
Ross Wightman d4debe6597 Update version, results csv files, and move remaining dropbox weights to github
5 years ago
Ross Wightman d97510fd4a Add new results csv and update README with 3 new ResNet weight results
5 years ago
Ross Wightman 2a1d09b4c0 Add result csv with summary of all pretrained models
5 years ago