There are 66 repositories under segmentation topic.
deep learning for image processing including classification and object-detection etc.
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.
Segmentation models with pretrained backbones. PyTorch.
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.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
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
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Mask RCNN in TensorFlow
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
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 pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
A procedural Blender pipeline for photorealistic training image generation
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Pytorch framework for doing deep learning on point clouds.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Awesome GAN for Medical Imaging
[IEEE TMI] Official Implementation for UNet++
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Papers and Datasets about Point Cloud.
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes