333 Open source projects that are alternatives of or similar to Mobilenetv3

Implementation of EfficientNet model. Keras and TensorFlow Keras.

[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.

Facial Expression Recognition using Residual Masking Network

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

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

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Deploying Keras models using TensorFlow Serving and Flask

Utils for fast.ai course

A specially designed light version of Fast AutoAugment

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Source code of Indian Paper Currency Prediction 🔥

An example of using Tensorflow with Unity for image classification and object detection.

Retrained InceptionV3 image classification model

Test Time image Augmentation (TTA) wrapper for Keras model.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

A simple example on Image Classification in Node.js with TensorFlow.js

A tool for quickly training image classifiers in the browser

A photo OCR project aims to output DMS messages contained in sign structure images.

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

Official Implementation of 'Fast AutoAugment' in PyTorch.

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

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.

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Train the HRNet model on ImageNet

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

TensorFlow models accelerated with NVIDIA TensorRT

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

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

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

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

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

Object Recognition using TensorFlow and Java

High-performance Vision library in Python. Scale your research, not boilerplate.

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

Tensorflow based training and classification scripts for text, images, etc

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Sandbox for training deep learning networks

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

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

Object classification with CIFAR-10 using transfer learning

TensorFlow ImageNet demo using ROS sensor_msgs/Image