Official implementation of the CVPR 2024 paper ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions.

mmsegmentation extension library containing the latest paper code.

EfficientViT is a new family of vision models for efficient high-resolution vision.

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

This repo is developed for evaluating binary image segmentation results. Measures, such as MAE, Precision, Recall, F-measure, PR curves and F-measure curves are included.

Hiera: A fast, powerful, and simple hierarchical vision transformer.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

overture-py

The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

Segment Anything in High Quality [NeurIPS 2023]

🌌 Fine tune specific SAM model on any task

The repository provides code for training/fine tune the Meta Segment Anything Model 2 (SAM 2)

build net work from skeleton image (2D-3D)

A Pytorch implementation of DeepCrack and RoadNet projects.

RoadNet: A Multi-task Benchmark Dataset for Road Detection, TGRS.

Use an LLM to suggest tags based on an image you capture with your phone.

The OpenStreetMap editor driven by open data, AI, and supercharged features

Documentation for Open Mapping At Facebook

A lightweight module for Multi-Task Learning in pytorch.

A PyTorch Library for Multi-Task Learning

Multi-task UNet for medical image classification and saliency prediction

the code for paper "A Multi-Scale and Multi-Direction Fusion Network for Road Detection From Satellite Imagery". The code will be made public after the paper is accepted.

A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.

open code for "Occlusion-aware road extraction network for high-resolution remote sensing imagery"

PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection