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TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
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Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
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Deeplab V3 Plus CityscapesmIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
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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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TfvosSemi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
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BisenetAdd bisenetv2. My implementation of BiSeNet
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Bcdu NetBCDU-Net : Medical Image Segmentation
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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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Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
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PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
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MeshcnnConvolutional Neural Network for 3D meshes in PyTorch
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DeepmodelsTensorFlow Implementation of state-of-the-art models since 2012
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KittisegA Kitti Road Segmentation model implemented in tensorflow.
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Traffic Sign ClassifierUdacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
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TextclassifierText classifier for Hierarchical Attention Networks for Document Classification
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