387 Open source projects that are alternatives of or similar to Cgnet

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

Implementation details for EDANet

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

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

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

AttaNet for real-time semantic segmentation.

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

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

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

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

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

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

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

Pytorch code for semantic segmentation using ERFNet

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

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

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

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.)

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

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

Fully Convolutional HarDNet for Segmentation in Pytorch

Official PyTorch implementation of SegFormer

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

Understanding Convolution for Semantic Segmentation

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

SOTA Semantic Segmentation Models in PyTorch

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)

PSPNet in Chainer

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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.

A large-scale dataset for face parsing (AAAI2020)

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)

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

Be Driven 🚘

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

SegSort: Segmentation by Discriminative Sorting of Segments

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

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

Sandbox for training deep learning networks

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

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

train test labels for sunrgbd

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

SegAN: Semantic Segmentation with Adversarial Learning

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+

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.

image (semantic segmentation) instance segmentation by darknet or yolo

RefineNet-101 VOC in PyTorch

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

embedding and grouping pixels into boundary, proposal, segment and object instance.

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

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).