Fcn.tensorflowTensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
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Seg MentorTFslim based semantic segmentation models, modular&extensible boutique design
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Keras SegmentationGet started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net
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HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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TorchioMedical image preprocessing and augmentation toolkit for deep learning
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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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FcnChainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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KittisegA Kitti Road Segmentation model implemented in tensorflow.
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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PrinPointwise Rotation-Invariant Network (AAAI 2020)
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TextattackTextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP
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Seg By InteractionUnsupervised instance segmentation via active robot interaction
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GrandSource code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
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DeepbrainsegFully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
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Pedestrian Synthesis GanPedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
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Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
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Deep SegmentationCNNs for semantic segmentation using Keras library
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Torch Points3dPytorch framework for doing deep learning on point clouds.
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Pytorch FcnPyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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PfenetPFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
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Brats17Patch-based 3D U-Net for brain tumor segmentation
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Relaynet pytorchPytorch Implementation of retinal OCT Layer Segmentation (with trained models)
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Kits19 ChallegeKiTS19——2019 Kidney Tumor Segmentation Challenge
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Pointclouddatasets3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
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Setr PytorchRethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
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Cnn Paper2🎨 🎨 深度学习 卷积神经网络教程 :图像识别,目标检测,语义分割,实例分割,人脸识别,神经风格转换,GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/
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Wb color augmenterWB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
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Cutmixa Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
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Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
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Retina FeaturesProject for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
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PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
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DdaDifferentiable Data Augmentation Library
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Crfasrnn pytorchCRF-RNN PyTorch version http://crfasrnn.torr.vision
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Unet Crf RnnEdge-aware U-Net with CRF-RNN layer for Medical Image Segmentation
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Cag uda(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
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Tensorflow FcnAn Implementation of Fully Convolutional Networks in Tensorflow.
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Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
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Unet SegmentationThe U-Net Segmentation plugin for Fiji (ImageJ)
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DoccreatorDIAR software for synthetic document image and groundtruth generation, with various degradation models for data augmentation
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Vnet TensorflowTensorflow implementation of the V-Net architecture for medical imaging segmentation.
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DipsNAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
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Unet 3d3D Unet Equipped with Advanced Deep Learning Methods
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DatasetCrop/Weed Field Image Dataset
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ChangepointA place for the development version of the changepoint package on CRAN.
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Pose Adv AugCode for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)
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Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
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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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