80 Open source projects that are alternatives of or similar to cityscapes-to-coco-conversion

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

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

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

PSPNet in Chainer

PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)

Fully Convolutional HarDNet for Segmentation in Pytorch

Official PyTorch implementation of SegFormer

Understanding Convolution for Semantic Segmentation

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

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

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

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

Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely

Switchable Normalization for semantic image segmentation and scene parsing.

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Add bisenetv2. My implementation of BiSeNet

BlindAssist iOS app

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

OpenMMLab Detection Toolbox and Benchmark

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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)

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

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

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

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

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

Pytorch code for semantic segmentation using ERFNet

No description or website provided.

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.

Download City Scapes Dataset using this script

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

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

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

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

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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

AttaNet for real-time semantic segmentation.

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

SOTA Semantic Segmentation Models in PyTorch

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.)

Implementation details for EDANet

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

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

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

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

MetalCity - a procedural night city landscape generator

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

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

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

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