segmentation

Grounding DINO with Segment Anything & Stable Diffusion colab

learning materials for PyTorch beginners

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

[MICCAI 2024] Codebase for "Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process"

NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.

[AAAI 25] SegFace: Face Segmentation of Long-tail classes

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting [ECCV 2024]

Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation

Transformer-powered hashtag segmentation with beam search, RRF ensembles, and agent-ready MCP workflows. A scalable alternative to heuristic splitters and massive LLMs.

[ICLR 2026] Code for "gen2seg: Generative Models Enable Generalizable Instance Segmentation"

A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation

An SDK for Transformers + YOLO and other SSD family models

Official Implementation of MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation (ECCV2024) (Oral)

[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation

A Bottom-Up Instance Segmentation Strategy for segmenting document instances using Transformers

[ICCV 2025] Official Implementation of "ProLearn: Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation"

Official repository of the paper "MIRAGE: A multimodal foundation model and benchmark for comprehensive retinal OCT image analysis", published in npj Digital Medicine (2025).

:hugs: AeroPath: An airway segmentation benchmark dataset with challenging pathology

This includes the codebase for EntroPE (Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting) paper.

Run zero-shot prediction models on your data