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UrbanOmniDetect

Calibration-Free View-Agnostic Monocular 3D Object Detection for Urban Scenes

Sourcehuggingface.co/mehmetkeremturkcan/UrbanOmniDetect/tree/303ad6685d768cdab1b0f84a399b740f0f7fae16

TypeOtherVersionRevision 303ad66

Source du modèle

Type: Other
Taille du fichier: 4,53–176 MB
Version: vRevision 303ad66
Mis à jour: 16 sept. 2026
Téléchargements: 869
Tâches: Détection d'objets
Source: Hugging Face

Extrait de la source

Calibration-Free View-Agnostic Monocular 3D Object Detection for Urban Scenes

Sources

1 source

Hugging FacePrincipalVersion 303ad6685d768cdab1b0f84a399b740f0f7fae16

huggingface.co/mehmetkeremturkcan/UrbanOmniDetect/tree/303ad6685d768cdab1b0f84a399b740f0f7fae16

Vérifié 16 sept.

Artefacts du modèle

39 artefacts

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Extraits de sources

2 extraits

Readme16 sept.huggingface.co/mehmetkeremturkcan/UrbanOmniDetect

--- license: agpl-3.0 library_name: ultralytics pipeline_tag: object-detection tags: - monocular-3d-object-detection - 3d-object-detection - birds-eye-view - autonomous-driving - calibration-free - keypoint-detection - kitti - yolo - ultralytics datasets: - mehmetkeremturkcan/UrbanOmniView --- <p align="center"> <h1 align="center">UrbanOmniDetect</h1> <h3 align="center">Calibration-Free View-Agnostic Monocular 3D Object Detection for Urban Scenes</h3> <p align="center"> <a href="https://scholar.google.com/citations?user=306TgWoAAAAJ">Mehmet Kerem Turkcan</a> • <a href="https://scholar.google.com/citations?user=GP7T1fgAAAAJ">Devika Gumaste</a> • <a href="https://scholar.google.com/citations?user=TlPI8yIAAAAJ">Zoran Kostic</a> <br/> <b>Columbia University</b> <br/><br/> <a href="https://drivex-workshop.github.io/cvpr2026/static/pdf/13_Calibration_Free_View_Agnos.pdf"><img src="https://img.shields.io/badge/Paper-PDF-b31b1b.svg" alt="Paper PDF"></a> <a href="https://github.com/mkturkcan/urbanomnidetect"><img src="https://img.shields.io/badge/GitHub-Code-181717.svg?logo=github" alt="GitHub Code"></a> <a href="https://huggingface.co/datasets/mehmetkeremturkcan/urbanomniview"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-green" alt="HuggingFace Dataset"></a> <a href="https://cvpr.thecvf.com/Conferences/2026"><img src="https://img.shields.io/badge/CVPR%202026-DriveX%20Workshop-4b44ce.svg" alt="CVPR 2026"></a> <a href="https://github.com/mkturkcan/urbanomnidetect/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-AGPL%203.0-orange.svg" alt="License"></a> </p> </p> <p align="center"> <img src="https://github.com/mkturkcan/urbanomnidetect/raw/main/assets/urbanomniview.png" width="100%" alt="UrbanOmniDetect pipeline overview"/> </p> This repository hosts the pretrained UrbanOmniDetect checkpoints. The full training and inference code (single-image BEV, real-time video, sliced high-resolution tracking, and evaluation) lives in the [GitHub repository](https://github.com/mkturkcan/urbanomnidetect). ## Highlights - **Calibration-free 3D detection.** A single model predicts 3D bounding box keypoints from a raw RGB image without camera intrinsics, depth estimation, or ground-plane priors. - **View-agnostic.** One unified architecture works across ego...

Note16 sept.huggingface.co/mehmetkeremturkcan/UrbanOmniDetect

Source context: 869 downloads · 7 likes · Pipeline object-detection · Library ultralytics · Repo mehmetkeremturkcan/UrbanOmniDetect