404 Open source projects that are alternatives of or similar to PhotographicImageSynthesiswithCascadedRefinementNetworks-Pytorch

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

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

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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.)

PSPNet in Chainer

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

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.

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

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Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

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

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

Fully Convolutional HarDNet for Segmentation in Pytorch

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

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

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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)

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

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]

AttaNet for real-time semantic segmentation.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

TensorFlow implementation of LinkNet

A list of popular deep learning models related to classification, segmentation and detection problems

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

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

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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.)

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2D and 3D UNet implementation in PyTorch.

Paper notes in deep learning/machine learning and computer vision

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

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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.

[ICLR2022] official implementation of UniFormer

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The VGG16 and VGG19 networks in caffe with jupyter notebook

Implemetation of Pyramid Scene Parsing Network in Pytorch