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segmentation
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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segmentation
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deep-rl
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May 17, 2021 - Jupyter Notebook
Pytorch implementation of convolutional neural network visualization techniques
grad-cam
pytorch
segmentation
gradient
cam
saliency
deep-dream
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gradient-visualization
cnn-visualization
smooth-grad
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Jul 12, 2021 - Python
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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caffe
computer-vision
deep-learning
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inference
nvidia
digits
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segmentation
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Sep 29, 2021 - C++
deep learning for image processing including classification and object-detection etc.
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Sep 26, 2021 - Python
Segmentation models with pretrained backbones. PyTorch.
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imagenet
segmentation
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unet
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unet-pytorch
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linknet
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Sep 18, 2021 - Python
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
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keras
segmentation
densenet
resnet
image-segmentation
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resnext
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May 18, 2021 - Python
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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Apr 21, 2021 - Python
Mask RCNN in TensorFlow
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Jan 5, 2021 - Python
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
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Sep 5, 2019 - Python
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
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Sep 30, 2021 - Python
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
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segmentation
densenet
upsampling
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iou
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semantic-segmentation-models
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Apr 22, 2021 - Python
Sandbox for training deep learning networks
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cifar
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tensorflow2
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Sep 28, 2021 - Python
The 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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high-resolution
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Jul 20, 2021 - Python
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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May 16, 2020 - Python
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Sep 21, 2021 - Python
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
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Sep 29, 2021
Paper and implementation of UNet-related model.
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May 21, 2020 - Python
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
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Feb 15, 2021 - Python
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
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Aug 27, 2020 - Python
Awesome GAN for Medical Imaging
detection
medical-imaging
registration
generative-adversarial-network
gan
segmentation
deeplearning
reconstruction
super-resolution
ct-denoising
medical-image-synthesis
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Jun 10, 2021
Pytorch framework for doing deep learning on point clouds.
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Sep 30, 2021 - Python
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
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python2
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medical-images
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image-guided-therapy
medical-image-analysis
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Apr 21, 2020 - Python
《深度学习与计算机视觉》配套代码
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Nov 30, 2020 - Python
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
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resnet
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resnext
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dpn
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Mar 22, 2018 - Python
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
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Mar 1, 2020 - Jupyter Notebook
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
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point-cloud
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shapenet
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scannet
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Sep 3, 2021 - Python
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
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Mar 19, 2021 - Python
Convolutional Neural Network for 3D meshes in PyTorch
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computer-graphics
pytorch
mesh
segmentation
convolutional-neural-networks
3d
geometric-deep-learning
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Mar 9, 2020 - Python
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There is a set of augmentations specific for medical imaging in the torchio.readthedocs.io.
The license there is Apache 2 => As I understand, we can use some of the transforms from there in Albumentations. Of course, we need to keep the link to the original implementation in the docstring.
For example: