Ross Wightman
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0f2803de7a
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Move ImageNet metadata (aka info) files to timm/data/_info. Add helper classes to make info available for labelling. Update inference.py for first use.
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2 years ago |
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Ross Wightman
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89b0452171
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Add PyTorch 1.13 inference benchmark numbers
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2 years ago |
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Fredo Guan
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81ca323751
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Davit update formatting and fix grad checkpointing (#7)
fixed head to gap->norm->fc as per convnext, along with option for norm->gap->fc
failed tests due to clip convnext models, davit tests passed
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2 years ago |
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Ross Wightman
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8fca002c06
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Add ImageNet22k and 12k subset sysnet/index maps
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2 years ago |
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Ross Wightman
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c865028c34
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Update benchmark with latest model adds
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2 years ago |
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Ross Wightman
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30bd1746c5
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Improve csv table result processing for better sort when updating
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2 years ago |
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Ross Wightman
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e987e29036
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Add convnext_nano and few cs3 models to existing results tables
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2 years ago |
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Ross Wightman
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d7b55a9429
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Add gmacs and macts columns to inference benchmark (missed profile in initial run)
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2 years ago |
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Ross Wightman
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5e7d47ca10
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Add pytorch 1.12 benchmark csv files w/ 0.6.6 code. Remove pytorch 1.10 results. Deciding whether to update 1.11 results or remove...
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2 years ago |
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Ross Wightman
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326ade2999
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Add updated validation / test set results, benchmarks still running...
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2 years ago |
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Ross Wightman
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eac2df3d2c
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Update PyTorch 1.10 benchmark numbers for latest code
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3 years ago |
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Ross Wightman
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02b806e00a
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Add PyTorch 1.11 train benchmark numbers
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3 years ago |
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Ross Wightman
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c9f208f7f8
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Update eval results and add latest PyTorch 1.11 inference benchmarks
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3 years ago |
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Ross Wightman
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1331c145a3
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Add train benchmark results, adjust name scheme for inference and train benchmark files.
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3 years ago |
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Ross Wightman
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499c4749d7
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Add update NCHW and NHWC inference benchmark numbers for current models. Flip name of 'sam' vit models in results files
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3 years ago |
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Ross Wightman
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2d4b7e7080
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Update results csvs for latest release
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3 years ago |
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Ross Wightman
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135a48d024
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Fix sam result again for imagenetv2
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3 years ago |
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Ross Wightman
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aaff2d82d0
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Add new 50ts attn models to benchmark/meta csv files
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3 years ago |
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Ross Wightman
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1e17863b7b
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Fixed botne*t26 model results, add some 50ts self-attn variants
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3 years ago |
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Ross Wightman
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13178ba73a
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Add benchmark and metadata csv files
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3 years ago |
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Ross Wightman
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51f488b7f5
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Update results.csv files with latest weights
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3 years ago |
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Ross Wightman
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d10b071a28
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Update results csvs w/ latest ViT, ResMLP, and NfNet-L2 weights present
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4 years ago |
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Ross Wightman
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07fb05cc3d
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Update results csv files
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4 years ago |
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Ross Wightman
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c16d65a8a7
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Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
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4 years ago |
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Ross Wightman
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af647c10b3
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Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
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4 years ago |
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Ross Wightman
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95feb1da41
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Update results csvs, run with PyTorch 1.7.1 cuda 10.2, some differences from prev run with older PT ver.
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4 years ago |
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Ross Wightman
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59ec7e6a53
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Merge branch 'master' into imagenet21k_datasets_more
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4 years ago |
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Ross Wightman
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a7d0a8b5b2
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Update results csv files with latest models, incl 101D, 152D, 200D, SE152D ResNets and yet to be merged BiT and ViT-R50 models.
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4 years ago |
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Ross Wightman
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e553480b67
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Add 21843 synset txt for google 21k models like BiT/ViT
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4 years ago |
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Ross Wightman
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da1b90e5c9
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Update results csvs with latest run
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4 years ago |
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Ross Wightman
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b496b7bde9
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Re-ran batch validation on all models across all sets
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4 years ago |
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Ross Wightman
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ad150e7018
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Update results csv file rank/diff script and small validate script tweak for batch validation
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4 years ago |
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Ross Wightman
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c53ec33ae0
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Add synset/label indices for results generation. Add 'valid labels' to validation script to support imagenet-a/r label subsets properly.
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4 years ago |
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Ross Wightman
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4805dd1e79
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Fix incorrect dataset name, add new datasets to results delta script
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4 years ago |
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Ross Wightman
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6be878c22a
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Update results README to include robustness and real labels tests. Include labels files used in results gen.
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4 years ago |
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KushajveerSingh
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5699e8429f
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set precision=2 in param_count
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5 years ago |
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KushajveerSingh
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6526ccb4a7
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set precision=3 in results
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5 years ago |
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KushajveerSingh
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856f6181f7
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add {rank,top1,top5}_diff in results
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5 years ago |
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Ross Wightman
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b41b8d0108
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Update results csv files
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5 years ago |
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Ross Wightman
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31f4c126ec
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Add EfficientNet pruned models to results files
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5 years ago |
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Ross Wightman
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779cb0fcc0
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Update results with new models
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5 years ago |
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Ross Wightman
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91e2b33d72
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Update results with latest NoisyStudent models and SelectiveKernel models
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5 years ago |
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Ross Wightman
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5c85389e26
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Update README.md
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5 years ago |
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Ross Wightman
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820b73d280
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Update README.md
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5 years ago |
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Ross Wightman
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82c0a2ff12
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Update README.md
Fix relative paths (I think)
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5 years ago |
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Ross Wightman
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1ffd2d0694
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Add results/README.md
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5 years ago |
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Ross Wightman
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7c88356682
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Add update results on ImageNet validation, ImageNetV2, ImageNet-A, and ImageNet-Sketch for all models
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5 years ago |
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Ross Wightman
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82dd60b33c
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Rename results files for more clarity
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5 years ago |
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Ross Wightman
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00b93407c7
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Update results-all.csv with latest models/weights
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5 years ago |
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Ross Wightman
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3bef524f9c
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Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
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5 years ago |
