segmentation

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

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

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

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

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

EfficientSAM3 compresses SAM3 into lightweight, edge-friendly models via progressive knowledge distillation for fast promptable concept segmentation and tracking.

Project Page For "Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement"

[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).

Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"

[Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

[ICLR 2026] VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement Learning

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.

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

[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

🌌 Fine tune specific SAM model on any task

[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPR 2024)