1423 Open source projects that are alternatives of or similar to HRFormer

a collection of visualization function

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

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

A Python toolbox for computer vision research and project

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

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

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

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

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

PyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.

Generalized Data-free Universal Adversarial Perturbations

Tensorflow implementation : U-net and FCN with global convolution

《深度学习与计算机视觉》配套代码

PyTorch Implementation of Stacked U-Nets (SUNets)

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

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Collections of model quantization algorithms

Implementation of State-of-the-art Text Classification Models in Pytorch

DroneDeploy Machine Learning Segmentation Benchmark

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

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

Image Test Time Augmentation with PyTorch!

OpenMMLab Model Compression Toolbox and Benchmark.

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

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

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

Crop/Weed Field Image Dataset

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

Keras implementation for Pointnet

All-in-one Toolbox for Computer Vision Research.

Grid-GCN for Fast and Scalable Point Cloud Learning

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

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

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

Papers and Datasets about Point Cloud.

Sandbox for training deep learning networks

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

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

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

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Summary of Transformer applications for computer vision tasks.

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

Variants of Vision Transformer and its downstream tasks

Rank 1 / 216

Libtorch Examples

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

Resurces for MRI images processing and deep learning in 3D

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

基于Tensorflow2开发的优秀扩展包及项目

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

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms