There are 40 repositories under segmentation topic.
Fast 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
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.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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
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
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
A procedural Blender pipeline for photorealistic training image generation
[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)
Convolutional Neural Network for 3D meshes in PyTorch
PyTorch extensions for fast R&D prototyping and Kaggle farming
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)