391 Open source projects that are alternatives of or similar to panoptic-forecasting

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Implementation details for EDANet

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

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)

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

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.)

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

Pytorch code for semantic segmentation using ERFNet

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Understanding Convolution for Semantic Segmentation

This repository contains code and tools for reading, processing, evaluating on, and visualizing Panoptic Parts datasets. Moreover, it contains code for reproducing our CVPR 2021 paper results.

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

AttaNet for real-time semantic segmentation.

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

PSPNet in Chainer

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

📸 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

SOTA Semantic Segmentation Models in PyTorch

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

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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

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

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

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

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

Fully Convolutional HarDNet for Segmentation in Pytorch

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

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"

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

Official PyTorch implementation of SegFormer

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

This is the example implementation of UNet model for semantic segmentations

Semantic-TSDF for Self-driving Static Scene Reconstruction

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

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

Keras BiseNet architecture implementation

TensorFlow implementation of LinkNet

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

基于语义分割的矿区无人机影像地物提取实验

U-NET Semantic Segmentation model for Mobile

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

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

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

Cell Detection with PyTorch.