644 Open source projects that are alternatives of or similar to PSPNet-Pytorch

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Segmentation models with pretrained backbones. PyTorch.

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

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

A framework for developing neural network models for 3D image processing.

Semantic Segmentation Models in Pytorch

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Squeeze-and-Excitation Networks

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

🎯 保姆级深度学习从入门到放弃 🤪 🤪

Re-implementation of tripletloss function in FaceNet

Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

Domain Guided Dropout for Person Re-identification

A Big Awesome List CoreML Models.

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

VGG16 architecture with BatchNorm

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

Compact Generalized Non-local Network (NIPS 2018)

The SimNets Architecture's Implementation in Caffe

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

The implementation of 3D-UNet using PyTorch

The Convolutional Neural Network(CNN) for Android

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Reimplement RetinaFace use C++ and TensorRT

基于RabbitMQ简单实现验证码识别平台，训练网络模型智能识别图形验证码

Caffe for Sparse Convolutional Neural Network

A Caffe Implementation of SRGAN

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

ID-discriminative Embedding (IDE) for Person Re-identification

A windows caffe implementation of YOLO detection network

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

Deep learning software for colorizing black and white images with a few clicks.

A paper list of RGBD semantic segmentation (processing)

Oriented Response Networks, in CVPR 2017

Convert image folder to lmdb, adapted from Efficient-PyTorch

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Visualizer for neural network, deep learning, and machine learning models

MTCNN with Motion Detection, on Raspberry Pi with Love

MTCNN Face Detection & Alignment