369 Open source projects that are alternatives of or similar to Fast Scnn Pytorch

PyTorch Implementations for DeeplabV3 and PSPNet

SOTA Semantic Segmentation Models in PyTorch

Fully Convolutional HarDNet for Segmentation in Pytorch

Semantic-TSDF for Self-driving Static Scene Reconstruction

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

Tensorflow implementation : U-net and FCN with global convolution

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Real-Time Semantic Segmentation in Mobile device

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Develop production ready deep learning code, deploy it and scale it

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Light-Weight RefineNet for Real-Time Semantic Segmentation

Cell Detection with PyTorch.

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Implementation details for EDANet

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

Be Driven 🚘

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

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.)

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

Understanding Convolution for Semantic Segmentation

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

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

2D and 3D UNet implementation in PyTorch.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Caffe: a fast open framework for deep learning.

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

[ICLR2022] official implementation of UniFormer

This repository contains the reference implementation for our proposed Convolutional CRFs.

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

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

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

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

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.

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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

PyTorch implementation of DeepLabv3

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

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

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

Deep learning applied to georeferenced datasets

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

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

image (semantic segmentation) instance segmentation by darknet or yolo

Pytorch for Segmentation

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

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

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

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+

PyTorch implementation of PSPNet

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC