478 Open source projects that are alternatives of or similar to head-network-distillation

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

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

OpenMMLab Image Classification Toolbox and Benchmark

A collection of SOTA Image Classification Models in PyTorch

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

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

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

Parametric Contrastive Learning (ICCV2021)

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

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

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

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

Train the HRNet model on ImageNet

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

Bottleneck Transformers for Visual Recognition

Etiketai is an online tool designed to label images, useful for training AI models

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

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

Sandbox for training deep learning networks

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

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

Easily train or fine-tune SOTA computer vision models with one open source training library

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.

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

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

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

[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.

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

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

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

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

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

A lightweight convolutional neural network

⚡ Useful scripts when using TensorRT

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

Keras implementation of Mobile Networks

Real time image classification with React Native and Tensorflow lite.

Traffic Sign Recognition with Keras.

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

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

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

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.

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)

Pytorch implementation of pyramidnet

MoGA: Searching Beyond MobileNetV3

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

Tools for generating mini-ImageNet dataset and processing batches

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

LibFewShot: A Comprehensive Library for Few-shot Learning.

custom implementation alexnet with tensorflow

EfficientNetV2 implementation using PyTorch

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

A new test set for ImageNet

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