1101 Open source projects that are alternatives of or similar to Hrnet Semantic Segmentation

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

Switchable Normalization for semantic image segmentation and scene parsing.

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

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

BCDU-Net : Medical Image Segmentation

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

CNNs for semantic segmentation using Keras library

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

Implementation details for EDANet

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

PSPNet in Chainer

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Sandbox for training deep learning networks

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

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Machine Learning Project to identify an ID Card on an image

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

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

An awesome semantic segmentation model that runs in real time

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

train test labels for sunrgbd

A lexicon for Sudachi

Fully featured implementation of Routing Transformer

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Paper and implementation of UNet-related model.

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

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

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

LiTS - Liver Tumor Segmentation Challenge

Transformers for Longer Sequences

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Convolutional (Patch) Networks for Semantic Segmentation

RefineNet-101 VOC in PyTorch

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

Transformer implementation in PyTorch.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Text tokenization and sentence segmentation (segtok v2)

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Be Driven 🚘

任何 JS 环境可用的中文分词包，fork from leizongmin/node-segment

An Implementation of 'Attention is all you need' with Chinese Corpus

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Multi-object image datasets with ground-truth segmentation masks and generative factors.

cGAN-based Multi Organ Nuclei Segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

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

MOTSFusion: Track to Reconstruct and Reconstruct to Track