segmentation

A ComfyUI custom node designed for advanced image background removal and object, face, clothes, and fashion segmentation, utilizing multiple models including RMBG-2.0, INSPYRENET, BEN, BEN2, BiRefNet, SDMatte, SAM, SAM2, SAM3 and GroundingDINO.

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

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

Declarative way to run AI models in React Native on device, powered by ExecuTorch.

Tracking and collecting papers/projects/others related to Segment Anything.

OpenMMLab Model Compression Toolbox and Benchmark.

PaddleSlim is an open-source library for deep model compression and architecture search.

PyTorch extensions for fast R&D prototyping and Kaggle farming

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!

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.

Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.

Intel / AMD CPU Internals

A lean C++ library for working with point cloud data

Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

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.)

A Japanese Tokenizer for Business

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

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.