152 Open source projects that are alternatives of or similar to Tf Hrnet

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

A Harder ImageNet Test Set (CVPR 2021)

Train the HRNet model on ImageNet

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Evaluation of the CNN design choices performance on ImageNet-2012.

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Classification models trained on ImageNet. Keras.

Segmentation models with pretrained backbones. PyTorch.

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

Corruption and Perturbation Robustness (ICLR 2019)

PyTorch to Keras model convertor

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Label Studio is a multi-type data labeling and annotation tool with standardized output format

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

👁 Bulk-download all thumbnails from an ImageNet synset, with optional rescaling

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

OpenMMLab Image Classification Toolbox and Benchmark

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

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

A light-weight, power efficient, and general purpose convolutional neural network

Trial on kaggle imagenet object localization by yolo v3 in google cloud

ImageNet pre-trained models with batch normalization for the Caffe framework

PyTorch to Keras model convertor

🔥 Reproducibly benchmarking Keras and PyTorch models

Porting pytorch dcgan on FloydHub

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Unofficial PyTorch Reimplementation of RandAugment.

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

MobileNetV3 in pytorch and ImageNet pretrained models

PyTorch implementation of PNASNet-5 on ImageNet

🍊 🎑 Orange3 add-on for dealing with image related tasks

Comparison of famous convolutional neural network models

Powerful and efficient Computer Vision Annotation Tool (CVAT)

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

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

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

Generate mini-ImageNet with ImageNet for fewshot learning

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Official repository for Big-Little Net

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Friendly machine learning for the web! 🤖