swinv2_tiny_window16_256.ms_in1k是一种基于深度学习的小型图像分类模型,具有较小的模型规模和低计算复杂度,适用于移动设备等资源受限的环境下的图像分类任务。该模型的主要特点是采用了Swin Transformer架构,这是一种高效的卷积神经网络结构,可以有效地捕捉图像特征
eva_large_patch14_196.in22k_ft_in1k87.93498.504304.14196 eva02_small_patch14_336.mim_in22k_ft_in1k85.7497.61422.13336 eva02_tiny_patch14_336.mim_in22k_ft_in1k80.65895.5245.76336 Multi-weight and HF hub for DeiT and MLP-Mixer based models ...
eva02_tiny_patch14_336.mim_in22k_ft_in1k 80.658 95.524 5.76 336 Multi-weight and HF hub for DeiT and MLP-Mixer based models March 22, 2023 More weights pushed to HF hub along with multi-weight support, including: regnet.py, rexnet.py, byobnet.py, resnetv2.py, swin_transformer.py...
eva02_tiny_patch14_336.mim_in22k_ft_in1k 80.658 95.524 5.76 336 Multi-weight and HF hub for DeiT and MLP-Mixer based models March 22, 2023 More weights pushed to HF hub along with multi-weight support, including: regnet.py, rexnet.py, byobnet.py, resnetv2.py, swin_transformer.py...
seresnextaa101d_32x8d.sw_in12k_ft_in1k_288- 86.5 @ 288, 86.7 @ 320 Add first ConvNext-XXLarge CLIP -> IN-1k fine-tune and IN-12k intermediate fine-tunes for convnext-base/large CLIP models. modeltop1top5img_sizeparam_countgmacsmacts ...
seresnextaa101d_32x8d.sw_in12k_ft_in1k_288- 86.5 @ 288, 86.7 @ 320 Add first ConvNext-XXLarge CLIP -> IN-1k fine-tune and IN-12k intermediate fine-tunes for convnext-base/large CLIP models. modeltop1top5img_sizeparam_countgmacsmacts ...
eva02_tiny_patch14_336.mim_in22k_ft_in1k 80.658 95.524 5.76 336 Multi-weight and HF hub for DeiT and MLP-Mixer based models March 22, 2023 More weights pushed to HF hub along with multi-weight support, including: regnet.py, rexnet.py, byobnet.py, resnetv2.py, swin_transformer.py...
eva_large_patch14_196.in22k_ft_in1k87.93498.504304.14196 eva02_small_patch14_336.mim_in22k_ft_in1k85.7497.61422.13336 eva02_tiny_patch14_336.mim_in22k_ft_in1k80.65895.5245.76336 Multi-weight and HF hub for DeiT and MLP-Mixer based models ...
eva02_tiny_patch14_336.mim_in22k_ft_in1k 80.658 95.524 5.76 336 Multi-weight and HF hub for DeiT and MLP-Mixer based models March 22, 2023 More weights pushed to HF hub along with multi-weight support, including: regnet.py, rexnet.py, byobnet.py, resnetv2.py, swin_transformer.py...
eva02_tiny_patch14_336.mim_in22k_ft_in1k 80.658 95.524 5.76 336 Multi-weight and HF hub for DeiT and MLP-Mixer based models March 22, 2023 More weights pushed to HF hub along with multi-weight support, including: regnet.py, rexnet.py, byobnet.py, resnetv2.py, swin_transformer.py...