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

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

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

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

DeepLab-LargeFOV implemented in tensorflow

Deep Learning sample programs using PyTorch in C++

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

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

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

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

Fully Convolutional HarDNet for Segmentation in Pytorch

Tensorflow implementation : U-net and FCN with global convolution

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

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

Be Driven 🚘

Learning from Synthetic Data: Addressing Domain Shift 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

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

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

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

PyTorch implementation of DeepLabv3

Deep learning applied to georeferenced datasets

image (semantic segmentation) instance segmentation by darknet or yolo

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

Another pytorch implementation of FCN (Fully Convolutional Networks)

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

FrostNet: Towards Quantization-Aware Network Architecture Search

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Satellite Image Classification using semantic segmentation methods in deep learning

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

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

PSPNet in Chainer

C++ based toolbox for the SUNCG dataset

Tools to Design or Visualize Architecture of Neural Network

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

CNNs for semantic segmentation using Keras library

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

Semantic segmentation on iPhone using ESPNetv2

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

A curated list of awesome data labeling tools

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

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+