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Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Icnet Pytorch ⭐ 89

ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.

Code for "Are labels necessary for neural architecture search"

Defgrid Release ⭐ 87

Official PyTorch implementation of Deformable Grid (ECCV 2020)

Deeplab V3 Plus Cityscapes ⭐ 87

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).

[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

Pytorch Linknet ⭐ 85

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

Iast Eccv2020 ⭐ 83

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

Panoptic_parts ⭐ 83

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.

Image Segmentation Fcn ⭐ 81

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)

Generative_adversarial_perturbations ⭐ 78

Generative Adversarial Perturbations (CVPR 2018)

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].

Learning Texture Invariant Representation ⭐ 77

Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020

Chainer Pspnet ⭐ 76

PSPNet in Chainer

Citypersons ⭐ 74

bounding box annotations, python evaluation code, and a benchmark for CityPersons

Semantic Segmentation Tensorflow ⭐ 74

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

Da Faster Rcnn Pytorch ⭐ 73

An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’

Public Code ⭐ 71

Domain Adaptation On Segmentation ⭐ 68

Depth-aware Domain Adaptation in Semantic Segmentation

Adapnet Pp ⭐ 63

TensorFlow model for training AdapNet++ for semantic segmentation

Semanticsegmentationusingfpn_panopticfeaturepyramidnetworks ⭐ 63

Fast Scnn ⭐ 59

Unofficial implementation of Fast-SCNN: Fast Semantic Segmentation Network

Da Retinanet ⭐ 58

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'

Netwarp_public ⭐ 58

Semantic Video CNNs through Representation Warping. ICCV 2017

TensorFlow model for training SSMA for multimodal semantic segmentation

LEGO: Learning Edge with Geometry all at Once by Watching Videos

Photographicimagesynthesiswithcascadedrefinementnetworks Pytorch ⭐ 56

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Motion Rcnn ⭐ 55

Motion R-CNN: Mask R-CNN with support for 3D motion estimation (prototype)

Mobilenetv3 Segmentation ⭐ 53

MobileNetV3 for Semantic Segmentation.

RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D and 3D. These architectures are approximately invertible by design and thus partially satisfy cycle-consistency before training even begins. Furthermore, since invertible architectures have constant memory complexity in depth, these models can be built arbitrarily deep without requiring additional memory. In the paper we demonstrate superior quantitative output

Realtime_panoptic ⭐ 52

Official PyTorch implementation of CVPR 2020 Oral: Real-Time Panoptic Segmentation from Dense Detections

Mix And Match ⭐ 50

Code for our AAAI 2018 work.

Squeezenas ⭐ 50

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020)

Panoptic Fpn Gluon ⭐ 49

Panoptic Feature Pyramid Networks

Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.

Pytorch Pix2pix ⭐ 47

Pytorch implementation of pix2pix for various datasets.

Unsupervised Domain Adaptation With Differential Treatment ⭐ 47

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation (CVPR 2020)

Switchnorm_segmentation ⭐ 46

Switchable Normalization for semantic image segmentation and scene parsing.

Cityscapes To Coco Conversion ⭐ 44

Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron

Ml Autofocusformer Segmentation ⭐ 41

This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

Video Generation from Single Semantic Label Map

ACFNet: Attentional Class Feature Network for Semantic Segmentation.(ICCV2019)

Fcn8s_tensorflow ⭐ 40

A TensorFlow implementation of FCN-8s

Chainer Pix2pix ⭐ 39

Chainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks

Official PyTorch implementation of "End to End Trainable Active Contours via Differentiable Rendering"

Adaboost_seg ⭐ 39

TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? 🤷‍♀️ Why not ! 🙆‍♀️

Code for our CVPR19 -- "Adapting Object Detectors via Selective Cross-Domain Alignment"

Fast, high accuracy video segmentation framework (CVPR 2019 oral)

Classmix ⭐ 36

Mininet V2 ⭐ 36

Official implementation of MiniNet-v2. MiniNet: An Efficient Semantic Segmentation ConvNet for Real-time Robotic Applications

Piecewisecrf ⭐ 36

The code for my master thesis "Modelling the Co-Occurrence of Semantic Labels with Conditional Random Fields"

Detectron Da Faster Rcnn ⭐ 36

Domain Adaptive Faster R-CNN in Detectron

Da Faster Rcnn ⭐ 35

Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild

Futuregan ⭐ 34

Official PyTorch Implementation of FutureGAN

(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

Dafrcnn Pytorch ⭐ 34

Domain Adaptive Faster R-CNN in PyTorch

Supervised_dispnet ⭐ 33

Towards Good Practice for CNN Based Monocular Depth Estimation

PyTorch implementation of CASENet

Scnn Pytorch ⭐ 32

Spatial CNN model in PyTorch use Cityscapes-dataset

Detecting The Unexpected ⭐ 32

Detecting the Unexpected via Image Resynthesis

Code for the paper "Reinforced Active Learning for Image Segmentation"

Bayesian Cyclegan ⭐ 32

Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

Official re-implementation of the Calibrated Adversarial Refinement model described in the paper "Calibrated Adversarial Refinement for Stochastic Semantic Segmentation"

A Pytorch implementation of CASENet for the Cityscapes Dataset

This is the code for GMIS, which is published on ECCV 2018 as "Pixel Derivation and Graph Merge for Instance Segmentation"

Semantic Meshes ⭐ 30

A framework for annotating 3D meshes using the predictions of a 2D semantic segmentation model.

AttaNet for real-time semantic segmentation.

Deep Feature Flow Segmentation ⭐ 28

Deep Feature Flow for Video Semantic Segmentation

Panoptic Forecasting ⭐ 28

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

Pix2pix Keras Tensorflow ⭐ 27

Rpnet Pytorch ⭐ 27

pytorch implement for RPNet

Cross Season Segmentation ⭐ 26

Code for "A Cross-Season Correspondence Dataset for Robust Semantic Segmentation"

Semantic Bottleneck Scene Generation

Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"

Dilation Pytorch Semantic Segmentation ⭐ 26

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

Refinenet Keras ⭐ 24

RefineNet: a Keras implementation

Fourier Domain Adaptation for Semantic Segmentation

Testing Fcn For Cityscapes ⭐ 23

Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

Codebase Segmentation Pytorch ⭐ 23

My personal codebase for segmentation tasks.

Pytorch Deeplab V3 Plus ⭐ 23

deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Oodretrieval ⭐ 23

Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation

Pytorch Enet Nice ⭐ 23

Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely

Realtime Semantic Segmentation Pytorch ⭐ 22

PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training etc.

Rdn4depth ⭐ 22

Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos, IJCAI 2019

Vid2depth ⭐ 21

This is the separated vid2depth from tensorflow/models, some lines are commented or changed for successfully inference.

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Depthgan ⭐ 21

Repo for our CVIU work on the Benefit of Adversarial Training on Monocular Depth Estimation

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

Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"

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