segmentation

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

deep learning for image processing including classification and object-detection etc.

Pytorch implementation of convolutional neural network visualization techniques

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Segmentation models with pretrained backbones. PyTorch.

unet for image segmentation

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Mask RCNN in TensorFlow

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Sandbox for training deep learning networks

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Paper and implementation of UNet-related model.

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Awesome GAN for Medical Imaging

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Pytorch framework for doing deep learning on point clouds.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

《深度学习与计算机视觉》配套代码

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Convolutional Neural Network for 3D meshes in PyTorch