799 Open source projects that are alternatives of or similar to PAPC

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

《深度学习与计算机视觉》配套代码

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Crop/Weed Field Image Dataset

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

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Image Test Time Augmentation with PyTorch!

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

Papers and Datasets about Point Cloud.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

基于Tensorflow2开发的优秀扩展包及项目

Generalized Data-free Universal Adversarial Perturbations

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

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

Collections of model quantization algorithms

All-in-one Toolbox for Computer Vision Research.

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

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

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

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Grid-GCN for Fast and Scalable Point Cloud Learning

Sandbox for training deep learning networks

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

A Python toolbox for computer vision research and project

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

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

OpenMMLab Model Compression Toolbox and Benchmark.

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Keras implementation for Pointnet

PyTorch Implementation of Stacked U-Nets (SUNets)

Semantic3D segmentation with Open3D and PointNet++

Pytorch framework for doing deep learning on point clouds.

Tensorflow implementation : U-net and FCN with global convolution

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

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

Resurces for MRI images processing and deep learning in 3D

Summary of Transformer applications for computer vision tasks.

Bayesian Segmentation of Spatial Transcriptomics Data

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Semantic Aware Attention Based Deep Object Co-segmentation

Deep learning for the automated spectral classification of supernovae

MiraPy: A Python package for Deep Learning in Astronomy

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

Documentations for PaddlePaddle

基于PaddlePaddle实现的音频分类，博客地址：

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

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

A deep-learning pipeline for segmentation of ambiguous microscopic images.

winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin

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

Distributed segmentation for bio-image-analysis

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

R package to Embed All the Things! using StarSpace

Semi-Supervised Video Object Segmentation(VOS) Paper List

This is an simple example of tagging bank transactions with ML.NET

CLANA is a toolkit for classifier analysis.