Semantic Segmentation SuiteSemantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
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recurrent-decoding-cell[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)
Stars: ✭ 14 (-83.13%)
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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Vocal Melody ExtractionSource code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".
Stars: ✭ 44 (-46.99%)
Mtlnas[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Stars: ✭ 58 (-30.12%)
Enet Sad pytorchPytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"
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Efficientdet PytorchA PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
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DensetorchAn easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
Stars: ✭ 50 (-39.76%)
Sota Point Cloud🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
Stars: ✭ 778 (+837.35%)
Fcn GooglenetGoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow
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Chainer SegnetSegNet implementation & experiments in Chainer
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Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
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Mask rcnn rosThe ROS Package of Mask R-CNN for Object Detection and Segmentation
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SscSemantic Scene Completion
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Elektronn3A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
Stars: ✭ 78 (-6.02%)
Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
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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.
Stars: ✭ 67 (-19.28%)
Deeplab v3Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
Stars: ✭ 768 (+825.3%)
DldlDeep Label Distribution Learning with Label Ambiguity
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GscnnGated-Shape CNN for Semantic Segmentation (ICCV 2019)
Stars: ✭ 720 (+767.47%)
Lung SegmentationSegmentation of Lungs from Chest X-Rays using Fully Connected Networks
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Unet Rgbunet for rgb images semantic segmentation
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Seg MentorTFslim based semantic segmentation models, modular&extensible boutique design
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MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Stars: ✭ 1,110 (+1237.35%)
SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Stars: ✭ 990 (+1092.77%)
Realtime Semantic SegmentationImplementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js
Stars: ✭ 79 (-4.82%)
Pytorch Auto DriveSegmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
Stars: ✭ 32 (-61.45%)
Usss iccv19Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
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Midv 500 ModelsModel for document segmentation trained on the midv-500-models dataset.
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Dcm NetThis work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
Stars: ✭ 75 (-9.64%)
Tf Unettensorflow version of unet
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Image captioninggenerate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
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Unet TgsApplying UNET Model on TGS Salt Identification Challenge hosted on Kaggle
Stars: ✭ 81 (-2.41%)
CcnetCCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Stars: ✭ 1,059 (+1175.9%)
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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Deep SegmentationCNNs for semantic segmentation using Keras library
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Deep Visual Attention PredictionKeras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.
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Deeplab PytorchPyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
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LabelmeImage Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Stars: ✭ 7,742 (+9227.71%)
SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Stars: ✭ 49 (-40.96%)
Pytorch 3dunet3D U-Net model for volumetric semantic segmentation written in pytorch
Stars: ✭ 765 (+821.69%)
Espnetv2 CoremlSemantic segmentation on iPhone using ESPNetv2
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LightnetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 698 (+740.96%)