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EntityEntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
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Cascaded FcnSource code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
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Seg MentorTFslim based semantic segmentation models, modular&extensible boutique design
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Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
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FcnChainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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CAP augmentationCut and paste augmentation for object detection and instance segmentation
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wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
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pyconvsegnetSemantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
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Grapy-ML(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
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LightnetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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MedicaldetectiontoolkitThe Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
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Multiclass Semantic Segmentation CamvidTensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
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Erfnet pytorchPytorch code for semantic segmentation using ERFNet
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Dilation TensorflowA native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.
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Kiu Net PytorchOfficial Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)
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Semantic Segmentation SuiteSemantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
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Hrnet Semantic SegmentationThe 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
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DeepLab-V3Google DeepLab V3 for Image Semantic Segmentation
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deeplabv3plus-kerasdeeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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hypersegHyperSeg - Official PyTorch Implementation
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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Deeplab-Large-FOVMy Implementation of the deeplab_v1 (known as deeplab large fov)
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etos-deepcutDeep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.
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lite.ai.toolkit🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
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Indoor-segmentationIndoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
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ImgclsmobSandbox for training deep learning networks
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kitti deeplabInference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.
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Efficient Segmentation NetworksLightweight 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.)
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Superpoint graphLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs
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Bcdu NetBCDU-Net : Medical Image Segmentation
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SemanticsegmentationA framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
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CcnetCCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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Vision4j CollectionCollection of computer vision models, ready to be included in a JVM project
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OpenvehiclevisionAn opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
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Crfasrnn pytorchCRF-RNN PyTorch version http://crfasrnn.torr.vision
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Setr PytorchRethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
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DocuNetCode and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
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Fast-SCNN pytorchA PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
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DSegInvariant Superpixel Features for Object Detection
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label-studio-frontendData labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
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Dynamic ORB SLAM2Visual SLAM system that can identify and exclude dynamic objects.
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MONAILabelMONAI Label is an intelligent open source image labeling and learning tool.
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Semantic-Mono-DepthGeometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018
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U-Net-SatelliteRoad Detection from satellite images using U-Net.
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