152 Open source projects that are alternatives of or similar to Mobilenetv3 Pytorch

Classification with PyTorch.

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

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

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

A lightweight convolutional neural network

PSPNet in Chainer

PyTorch C++ inference with LibTorch

[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.

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

A new test set for ImageNet

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

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

A pytorch implementation of VoVNet

A plug-in replacement for DataLoader to load ImageNet disk-sequentially in PyTorch.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

⚡ Useful scripts when using TensorRT

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Official repository for Big-Little Net

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

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.

Sandbox for training deep learning networks

Classification models trained on ImageNet. Keras.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Generate mini-ImageNet with ImageNet for fewshot learning

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

train resnet on imagenet from scratch with caffe

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

TensorFlow implementation of PNASNet-5 on ImageNet

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Caffe Implementation of Google's MobileNets (v1 and v2)

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

Adaptive Real-Time Object Detection System with HOG and CNN Features

Keras implementation of Mobile Networks

tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

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

Collection of computer vision models, ready to be included in a JVM project

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

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

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

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

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

MoGA: Searching Beyond MobileNetV3

Porting pytorch dcgan on FloydHub

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

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

A Caffe Re-Implementation of SENet

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Tools for generating mini-ImageNet dataset and processing batches

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search