1941 Open source projects that are alternatives of or similar to Vision4j Collection

《深度学习与计算机视觉》配套代码

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Collections of model quantization algorithms

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

A lightweight convolutional neural network

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Grid-GCN for Fast and Scalable Point Cloud Learning

Crop/Weed Field Image Dataset

deep learning for image processing including classification and object-detection etc.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

CNNs for semantic segmentation using Keras library

A flexible Python front-end inference SDK based on TensorRT

基于Tensorflow2开发的优秀扩展包及项目

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

HyperSeg - Official PyTorch Implementation

OpenMMLab Model Compression Toolbox and Benchmark.

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

A Python toolbox for computer vision research and project

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

An open-source semi-automated processing chain for urban OBIA classification.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

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

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

All-in-one Toolbox for Computer Vision Research.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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

Unofficial PyTorch Reimplementation of RandAugment.

High-level batteries-included neural network training library for Pytorch

Image Test Time Augmentation with PyTorch!

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

TFslim based semantic segmentation models, modular&extensible boutique design

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Generalized Data-free Universal Adversarial Perturbations

Classification with PyTorch.

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

CRF-RNN PyTorch version http://crfasrnn.torr.vision

A Clearer and Simpler MobileNet Implementation in TensorFlow

Paper and implementation of UNet-related model.

Kotlin Native app working on Android & iPhone

新浪微博情感分析应用

☄️ PHP CLI mode development framework, supports Swoole, WorkerMan, FPM, CLI-Server / PHP 命令行模式开发框架，支持 Swoole、WorkerMan、FPM、CLI-Server

A simpler way of reading and augmenting image segmentation data into TensorFlow

lightweight and efficient cnn for semantic segmentation, my blog address:

MOTSFusion: Track to Reconstruct and Reconstruct to Track

AI and machine leaning-based computer vision for a robot