LightnetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
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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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EntityEntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
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Erfnet pytorchPytorch code for semantic segmentation using ERFNet
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LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 710 (+22.63%)
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
Stars: ✭ 2,369 (+309.15%)
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
Stars: ✭ 196 (-66.15%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (-78.58%)
CAP augmentationCut and paste augmentation for object detection and instance segmentation
Stars: ✭ 93 (-83.94%)
AttaNetAttaNet for real-time semantic segmentation.
Stars: ✭ 37 (-93.61%)
Superpoint graphLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Stars: ✭ 533 (-7.94%)
wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
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Dilation-Pytorch-Semantic-SegmentationA PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.
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mobilenet segmentationBinary semantic segmentation with UNet based on MobileNetV2 encoder
Stars: ✭ 18 (-96.89%)
Fast-SCNN pytorchA PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
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InstantDLInstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
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Tusimple DucUnderstanding Convolution for Semantic Segmentation
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SegFormerOfficial PyTorch implementation of SegFormer
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hypersegHyperSeg - Official PyTorch Implementation
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SUIMSemantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
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Brain-MRI-SegmentationSmart India Hackathon 2019 project given by the Department of Atomic Energy
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EDANetImplementation details for EDANet
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panoptic-forecasting[CVPR 2021] Forecasting the panoptic segmentation of future video frames
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VNetProstate MR Image Segmentation 2012
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plussegShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark
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IAST-ECCV2020IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
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DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Stars: ✭ 98 (-83.07%)
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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DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
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HyperDenseNet pytorchPytorch version of the HyperDenseNet deep neural network for multi-modal 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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Pytorch UnetSimple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
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Segmentation modelsSegmentation models with pretrained backbones. Keras and TensorFlow Keras.
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Pspnet TensorflowTensorFlow-based implementation of "Pyramid Scene Parsing Network".
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Neural PipelineNeural networks training pipeline based on PyTorch
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EdgenetsThis repository contains the source code of our work on designing efficient CNNs for computer vision
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PywickHigh-level batteries-included neural network training library for Pytorch
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PixellibVisit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
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Panoptic DeeplabThis 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)
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Bcdu NetBCDU-Net : Medical Image Segmentation
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AdemxappCode for https://arxiv.org/abs/1611.10080
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Refinenet RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
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