#Segmentation
Showing 60 of 220 repositories tagged #segmentation, ranked by stars
deep learning for image processing including classification and object-detection etc.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
BoxMOT: Pluggable python and c++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
Pytorch implementation of convolutional neural network visualization techniques
All-in-One Development Tool based on PaddlePaddle
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
A procedural Blender pipeline for photorealistic training image generation
GeoAI: Artificial Intelligence for Geospatial Data
Sandbox for training deep learning networks
AI comic and manga translator app/browser extension for automatically translating comics, manga, manhwa, BDs, fumetti, and more in multiple languages and formats (Images, PDF, EPUB, CBR, CBZ etc).
Pytorch framework for doing deep learning on point clouds.
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
CVNets: A library for training computer vision networks
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Vocal Remover using Deep Neural Networks
Convolutional Neural Network for 3D meshes in PyTorch
Tracking and collecting papers/projects/others related to Segment Anything.
Declarative way to run AI models in React Native on device, powered by ExecuTorch.
PyTorch extensions for fast R&D prototyping and Kaggle farming
《深度学习与计算机视觉》配套代码
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
The 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.
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Image Test Time Augmentation with PyTorch!
Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Perception toolkit for sim2real training and validation in Unity
MetaSeg: Packaged version of the Segment Anything repository
Self-contained Japanese Morphological Analyzer written in pure Go
[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting
Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2
This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.
A Kitti Road Segmentation model implemented in tensorflow.
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
:warning: OBSOLETE | Multi-platform, free open source software for visualization and image computing.
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
MONAI Label is an intelligent open source image labeling and learning tool.
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.