v1.0.9
版本发布时间: 2024-08-24 07:42:07
huggingface/pytorch-image-models最新发布版本:v1.0.9(2024-08-24 07:42:07)
Aug 21, 2024
- Updated SBB ViT models trained on ImageNet-12k and fine-tuned on ImageNet-1k, challenging quite a number of much larger, slower models
| model | top1 | top5 | param_count | img_size |
|---|---|---|---|---|
| vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k | 87.438 | 98.256 | 64.11 | 384 |
| vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k | 86.608 | 97.934 | 64.11 | 256 |
| vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k | 86.594 | 98.02 | 60.4 | 384 |
| vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k | 85.734 | 97.61 | 60.4 | 256 |
- MobileNet-V1 1.25, EfficientNet-B1, & ResNet50-D weights w/ MNV4 baseline challenge recipe
| model | top1 | top5 | param_count | img_size |
|---|---|---|---|---|
| resnet50d.ra4_e3600_r224_in1k | 81.838 | 95.922 | 25.58 | 288 |
| efficientnet_b1.ra4_e3600_r240_in1k | 81.440 | 95.700 | 7.79 | 288 |
| resnet50d.ra4_e3600_r224_in1k | 80.952 | 95.384 | 25.58 | 224 |
| efficientnet_b1.ra4_e3600_r240_in1k | 80.406 | 95.152 | 7.79 | 240 |
| mobilenetv1_125.ra4_e3600_r224_in1k | 77.600 | 93.804 | 6.27 | 256 |
| mobilenetv1_125.ra4_e3600_r224_in1k | 76.924 | 93.234 | 6.27 | 224 |
-
Add SAM2 (HieraDet) backbone arch & weight loading support
-
Add Hiera Small weights trained w/ abswin pos embed on in12k & fine-tuned on 1k
| model | top1 | top5 | param_count |
|---|---|---|---|
| hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k | 84.912 | 97.260 | 35.01 |
| hiera_small_abswin_256.sbb2_pd_e200_in12k_ft_in1k | 84.560 | 97.106 | 35.01 |
Aug 8, 2024
- Add RDNet ('DenseNets Reloaded', https://arxiv.org/abs/2403.19588), thanks Donghyun Kim