Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

Båtvik seasonal dataset loader

Code for "MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training", Arxiv 2025.

A fast gigapixel processing system

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Implementation of visual based UAV geo-localization using satellite imagery

Adapting the Segment Anything Model for Polygonal Building Extraction

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation

[AAAI 2025] SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks

ELSED: Enhanced Line SEgment Drawing

[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

Code repository for paper: "G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models"

Statewide Visual Geolocalization in the Wild (ECCV 2024)

Optimized implementation for color-icon-matrix barcodes

This repository is a mirror of https://git.openwrt.org/openwrt/openwrt.git It is for reference only and is not active for check-ins. We will continue to accept Pull Requests here. They will be merg…

graph-theoretic framework for robust pairwise data association

A library for efficient similarity search and clustering of dense vectors.

PyTorch code and models for the DINOv2 self-supervised learning method.

AnyLoc: Universal Visual Place Recognition (RA-L 2023)

Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

SDPL: Shifting-Dense Partition Learning for UAV-view Geo-localization