PointnetPointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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PAPCPAPC is a deep learning for point clouds platform based on pure PaddlePaddle
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Gd UapGeneralized Data-free Universal Adversarial Perturbations
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ShadowlessA Fast and Open Source Autonomous Perception System.
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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DatasetCrop/Weed Field Image Dataset
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Vision4j CollectionCollection of computer vision models, ready to be included in a JVM project
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Skin-Cancer-SegmentationClassification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset
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Pointnet2PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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PointasnlPointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
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Dgcnn.pytorchA PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
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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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SlicerMulti-platform, free open source software for visualization and image computing.
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Breast cancer classifierDeep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
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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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Segment OpenSegment Source Distribution
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Kiu Net PytorchOfficial Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)
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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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Medical TransformerPytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"
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GansegFramework for medical image segmentation using deep neural networks
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Holy EdgeHolistically-Nested Edge Detection
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Detectron.pytorchA pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
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SipmaskSipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
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FrancNatural language detection
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Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
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Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
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Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
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AlbumentationsFast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
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TabiBGP Hijack Detection
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crowd density segmentationThe code for preparing the training data for crowd counting / segmentation algorithm.
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rgbd person trackingR-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.
Stars: ✭ 46 (-17.86%)
medSegMedical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架
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Mstar deeplearning projectRadar target classification, detection and recognition using deeplearning methods on MSTAR dataset
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covid19.MIScnnRobust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
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dicomifierA medical image converter
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BonnetalBonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
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SinetCamouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)
Stars: ✭ 246 (+339.29%)
Pytorchinsighta pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
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MRQyMRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.
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nnDetectionnnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
Stars: ✭ 355 (+533.93%)
BCNetDeep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
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ANTsRAdvanced Normalization Tools in R
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Point2SequencePoint2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
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shellnetShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
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VNetProstate MR Image Segmentation 2012
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DSegInvariant Superpixel Features for Object Detection
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snomed-owl-toolkitThe official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.
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EntityEntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
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XEDXED multilingual emotion datasets
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Predictive-Maintenance-of-Aircraft-EngineIn this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
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VindicateToolLLMNR/NBNS/mDNS Spoofing Detection Toolkit
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