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

Deep Label Distribution Learning with Label Ambiguity

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

unet for rgb images semantic segmentation

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

TFslim based semantic segmentation models, modular&extensible boutique design

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

parsing scene images with understanding geometric perspective in the loop

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Semantic Scene Completion

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

DeepLab-LargeFOV implemented in tensorflow

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Deep Learning sample programs using PyTorch in C++

Web labeling tool for bitmap images and point clouds

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

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

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

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

CRF-RNN PyTorch version http://crfasrnn.torr.vision

PyTorch Implementations for DeeplabV3 and PSPNet

Fully Convolutional HarDNet for Segmentation in Pytorch

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

Tensorflow implementation : U-net and FCN with global convolution

Real-Time Semantic Segmentation in Mobile device

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

Light-Weight RefineNet for Real-Time Semantic Segmentation

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

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Be Driven 🚘

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.)

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Understanding Convolution for Semantic Segmentation

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

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

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

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

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

PyTorch implementation of DeepLabv3

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

Deep learning applied to georeferenced datasets

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

image (semantic segmentation) instance segmentation by darknet or yolo

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic 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