imagenet

#计算机科学#LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source dat...

翻译 - Label️LabelImg是图形图像注释工具和图像中的标签对象边界框

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

翻译 - 这是“Swin Transformer：Hierarchical Vision Transformer using Shifted Windows”的官方实现。

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

翻译 - 具有预训练骨干的细分模型。 PyTorch。

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

翻译 - pytorch的预训练ConvNet：NASNet，ResNeXt，ResNet，InceptionV4，InceptionResnetV2，Xception，DPN等。

A PyTorch implementation of EfficientNet

翻译 - EfficientNet的PyTorch实施

#计算机科学#Friendly machine learning for the web! 🤖

#计算机科学#Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

翻译 - [CVPR2020]超越MobileNetV3：“ GhostNet：廉价运营带来的更多功能”

#计算机科学#DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

#计算机科学#Sandbox for training deep learning networks

翻译 - 用于训练卷积网络以实现计算机视觉的沙箱

Efficient vision foundation models for high-resolution generation and perception.

#计算机科学#Implementation of EfficientNet model. Keras and TensorFlow Keras.

翻译 - EfficientNet模型的实现。 Keras和TensorFlow Keras。

#计算机科学#CVNets: A library for training computer vision networks

#计算机科学#Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

翻译 - 在简单的Web界面或桌面应用程序中协作并标记任何类型的数据，图像，文本或文档。

#计算机科学#Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

翻译 - “大转移（BiT）：通用视觉表示学习”论文的官方资料库。

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

翻译 - 论文代码“ AdderNet：在深度学习中我们真的需要乘法吗？”

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

翻译 - 餐点V2：在没有技巧的情况下将ImageNet上的Vanilla ResNet-50提高到80％+ Top-1准确性

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

翻译 - 这是“用于视觉识别的上下文转换器网络”的官方实现。

#计算机科学#Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

翻译 - 带有预训练模型的ReXNet（等级扩展网络）的官方Pytorch实施

#计算机科学#[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers