v1.0.9

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