awesome-semantic-segmentation
awesome-semantic-segmentation - list of awesome things around semantic segmentation 
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awesomeawesome-listbenchmarkdeep-learningfcnfully-convolutional-networksrcnnsegmentationsemantic-segmentation
Awesome Semantic Segmentation / State-Of-The-Art (SOTA) methods of Semantic Segmentation | |||
| Rethinking Pre-training and Self-training | |||
| TF | 5,212 | about 1 month ago | |
| Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | |||
| TF | 76,987 | 2 days ago | , , , |
| Rethinking Atrous Convolution for Semantic Image Segmentation | |||
| TF | 76,987 | 2 days ago | , |
| Learning a Discriminative Feature Network for Semantic Segmentation | |||
| Pytorch | 1,407 | over 4 years ago | |
| Pyramid Scene Parsing Network | |||
| Keras | 1,581 | over 2 years ago | , , |
| Wider or Deeper: Revisiting the ResNet Model for Visual Recognition | |||
| MXNet | 340 | about 4 years ago | |
| RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation | |||
| Matlab | 589 | over 5 years ago | , |
| Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network | |||
| TF | 100 | over 5 years ago | |
| Conditional Random Fields as Recurrent Neural Networks | |||
| Matlab | 1,338 | almost 5 years ago | , |
| ParseNet: Looking Wider to See Better | |||
| Caffe | 5 | over 8 years ago | |
| Multi-Scale Context Aggregation by Dilated Convolutions | |||
| Caffe | 782 | over 6 years ago | |
| Fully Convolutional Networks for Semantic Segmentation | |||
| Caffe | 3,304 | about 3 years ago | |
Awesome Semantic Segmentation / State-Of-The-Art (SOTA) methods of Semantic Segmentation / Variants | |||
| pytorch | FCN with VGG(Resnet, Densenet) backbone: | ||
| pytorch | 406 | about 1 year ago | The easiest implementation of fully convolutional networks (FCN8s VGG): |
| paper | TernausNet (UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset : | ||
| pytorch | 548 | over 4 years ago | TernausNetV2: Fully Convolutional Network for Instance Segmentation: |
| Light-Weight RefineNet for Real-Time Semantic Segmentation | 738 | over 2 years ago | |
Awesome Semantic Segmentation / Review list of Semantic Segmentation | |||
| nanonet | A 2021 guide to Semantic Segmentation ( ) | ||
| University of Gour Banga,India | Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey 2020 ( ) | ||
| mc.ai | A peek of Semantic Segmentation 2018 ( ) | ||
| towardds | Semantic Segmentation guide 2018 ( ) | ||
| jeremyjordan.me | An overview of semantic image segmentation ( ) | ||
| arxiv | Recent progress in semantic image segmentation 2018 ( , ) | ||
| blog.qure.ai | A 2017 Guide to Semantic Segmentation Deep Learning Review ( ) | ||
| medium-towardds | Review popular network architecture ( ) | ||
| slide | Lecture 11 - Detection and Segmentation - CS231n ( , ): | ||
| arxiv | A Survey of Semantic Segmentation 2016 ( ) | ||
Awesome Semantic Segmentation / Case studies | |||
| Blog | Dstl Satellite Imagery Competition, 3rd Place Winners' Interview: Vladimir & Sergey: , | ||
| Blog | Carvana Image Masking Challenge–1st Place Winner's Interview: , | ||
| Blog | Data Science Bowl 2017, Predicting Lung Cancer: Solution Write-up, Team Deep Breath: | ||
| Code and explain | 620 | 6 months ago | MICCAI 2017 Robotic Instrument Segmentation: |
| 1st place | 2018 Data Science Bowl Find the nuclei in divergent images to advance medical discovery: , , , , , | ||
| 4th place | Airbus Ship Detection Challenge: , | ||
| 1st place | iMaterialist (Fashion) 2020 at FGVC7: | ||
| 1st place | Understanding Clouds from Satellite Images: , , | ||
| 1st place | Global Wheat Detection: , , | ||
| 1st place | Severstal: Steel Defect Detection: , , | ||
| 1st place | Human Protein Atlas Image Classification: , | ||
Awesome Semantic Segmentation / Datasets | |||
| Visual Object Classes Challenge 2012 (VOC2012) | : 400+ classes of real-world data | ||
| COCO Dataset | : 164k images, 72 classes: 80 thing classes, 91 stuff classes and 1 class 'unlabeled' | ||
| Cityscapes | : This dataset consists of segmentation ground truths for roads, lanes, vehicles and objects on road. The dataset contains 30 classes and of 50 cities collected over different environmental and weather conditions | ||
| PASCAL-Context | |||
| ADE20K | : 20k+ images | ||
| Semantic3d | |||
| CamVid | |||
| lartpang/awesome-segmentation-saliency-dataset | 531 | 3 months ago | |
| Kaggle | |||
Awesome Semantic Segmentation / Frameworks for segmentation | |||
| Semantic Segmentation in PyTorch | 1,648 | 6 months ago | (by yassouali): |
| Semantic Segmentation Suite | 2,509 | over 3 years ago | (by George Seif): |
| Segmentation Training Pipeline | 53 | over 4 years ago | : |
| Tramac/awesome-semantic-segmentation-pytorch | 2,831 | almost 2 years ago | |
| CSAILVision/semantic-segmentation-pytorch | 4,918 | 9 months ago | |
| divamgupta/image-segmentation-keras | 2,899 | 5 months ago | |
| PaddlePaddle/PaddleSeg | 8,582 | 14 days ago | : Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc |
Awesome Semantic Segmentation / Related techniques | |||
| Atrous/ Dilated Convolution | |||
| Transpose Convolution | (Deconvolution, Upconvolution) | ||
| Unpooling | |||
| A technical report on convolution arithmetic in the context of deep learning | 13,983 | over 1 year ago | |
| CRF | |||
mrgloom/awesome-semantic-segmentation