467 Open source projects that are alternatives of or similar to Fastseg

AttaNet for real-time semantic segmentation.

Implementation details for EDANet

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

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

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Official PyTorch implementation of SegFormer

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

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

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

Fully Convolutional HarDNet for Segmentation in Pytorch

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

Pytorch code for semantic segmentation using ERFNet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Understanding Convolution for Semantic Segmentation

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.)

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

PSPNet in Chainer

This repository contains the source code of our work on designing efficient CNNs for computer vision

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

SOTA Semantic Segmentation Models in PyTorch

Code for https://arxiv.org/abs/1611.10080

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

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

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

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

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

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

C++ based toolbox for the SUNCG dataset

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

Fully convolutional networks for semantic segmentation

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

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

A curated list of resources for embedded AI

Haiway Edge Computing OS

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

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.

An awesome semantic segmentation model that runs in real time

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

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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

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

SegSort: Segmentation by Discriminative Sorting of Segments

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