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

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)

AttaNet for real-time semantic segmentation.

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

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)

Official PyTorch implementation of SegFormer

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

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

PSPNet in Chainer

Implementation details for EDANet

SOTA Semantic Segmentation Models in PyTorch

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

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.)

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

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

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

Fully Convolutional HarDNet for Segmentation in Pytorch

[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

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

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

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

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

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

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"

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

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

U-NET Semantic Segmentation model for Mobile

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

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

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

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

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

HyperSeg - Official PyTorch Implementation

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.)

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

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

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

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

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

Cut and paste augmentation for object detection and instance segmentation

Summary of RGBT SOD and SS.

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

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

基于语义分割的矿区无人机影像地物提取实验

This is the example implementation of UNet model for semantic segmentations

Semantic-TSDF for Self-driving Static Scene Reconstruction

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"