original source: https://github.com/baaivision/EVA modeltop1param_countgmacmactshub eva_large_patch14_336.in22k_ft_in22k_in1k 89.2 304.5 191.1 270.2 link eva_large_patch14_336.in22k_ft_in1k 88.7 304.5 191.1 270.2 link eva_large_patch14_196.in22k_ft_in22k_in1k 88.6 304.1 61.6 63.5...
PoolFormer models w/ weights adapted fromhttps://github.com/sail-sg/poolformer VOLO models w/ weights adapted fromhttps://github.com/sail-sg/volo Significant work experimenting with non-BatchNorm norm layers such as EvoNorm, FilterResponseNorm, GroupNorm, etc ...
Original: https://github.com/mehtadushy/SelecSLS-Pytorch Dec 28, 2019 Add new model weights and training hparams (see Training Hparams section) efficientnet_b3 - 81.5 top-1, 95.7 top-5 at default res/crop, 81.9, 95.8 at 320x320 1.0 crop-pct trained with RandAugment, ended up with ...
Github链接:https://github.com/rwightman/pytorch-image-models 官网链接:https://fastai.github.io/timmdocs/https://rwightman.github.io/pytorch-image-models/ 简略文档:https://rwightman.github.io/pytorch-image-models/ 详细文档:https://fastai.github.io/timmdocs/ 安装 PyTorch Image Models(timm) 是...
A train, validation, inference, and checkpoint cleaning script included in the github root folder. Scripts are not currently packaged in the pip release.TrainingThe variety of training args is large and not all combinations of options (or even options) have been fully tested. For the training ...
https://rwightman.github.io/pytorch-image-models/models/ 介绍了timm实现的一些网络模型及其论文和参考代码 https://paperswithcode.com/lib/timm 也有列出 Adversarial Inception v3 Inception v3是Inception家族中的一个卷积神经网络/分类架构,它做了一些改进,包括使用 Label smooth,Factorized 7 x 7卷积,以及使用...
Code:https://github.com/swz30/MPRNet 2022/6/5:图像增强方面的论文,输入数据都是图像格式。代码简洁明了,针对其他任务则添加关于模型路径的参数,修改模型读取处的代码;有需要则添加计算运行时间函数,输出运行平均时间。 import torch import torch.nn as nn ...
Sign in with GitHub huggingface Fetched on 2025/02/07 22:51 huggingface / pytorch-image-models The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (...
A 'Test Time Pool' wrapper that can wrap any of the included models and usually provide improved performance doing inference with input images larger than the training size. Idea adapted from original DPN implementation when I ported (https://github.com/cypw/DPNs) ...
ResNet strikes back (https://arxiv.org/abs/2110.00476) weights added, plus any extra training components used. Model weights and some more details here (https://github.com/rwightman/pytorch-image-models/releases/tag/v0.1-rsb-weights)