448 Open source projects that are alternatives of or similar to EDANet

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

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

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

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.)

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

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

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

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

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

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

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

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

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

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

AttaNet for real-time semantic segmentation.

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

Understanding Convolution for Semantic Segmentation

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

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

Pytorch code for semantic segmentation using ERFNet

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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.

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

PSPNet in Chainer

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

Fully Convolutional HarDNet for Segmentation in Pytorch

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

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

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

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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

Caffe: a fast open framework for deep learning.

Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch

The implementation of 3D-UNet using PyTorch

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

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

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

[ICLR2022] official implementation of UniFormer

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

A paper list of RGBD semantic segmentation (processing)

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

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

Self driving car in GTAV with Deep Learning

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

Implemetation of Pyramid Scene Parsing Network in Pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron