387 Open source projects that are alternatives of or similar to Dilation-Pytorch-Semantic-Segmentation

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)

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

Pytorch code for semantic segmentation using ERFNet

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Fully Convolutional HarDNet for Segmentation in Pytorch

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

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

PSPNet in Chainer

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

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

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

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

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

SOTA Semantic Segmentation Models in PyTorch

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

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.)

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

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

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

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

Implementation details for EDANet

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

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

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

AttaNet for real-time semantic segmentation.

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

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

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Keras BiseNet architecture implementation

Squeeze-unet Semantic Segmentation for embedded devices

U-NET Semantic Segmentation model for Mobile

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

HyperSeg - Official PyTorch Implementation

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Cut and paste augmentation for object detection and instance segmentation

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Easily train or fine-tune SOTA computer vision models with one open source training library

Semantically segment the road in the given image.

This is the example implementation of UNet model for semantic segmentations

Summary of RGBT SOD and SS.