Open Vocabulary Monocular 3D Object Detection UVA-Computer-Vision-Lab/ovmono3d • • 25 Nov 2024 In this work, we pioneer the study of open-vocabulary monocular 3D object detection, a novel task that aims to detect and localize objects in 3D space from a single RGB image without ...
无需3D数据的开放词汇单目3D物体检测模型训练 Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data 热度: generalized additive models for data with concurvity statistical issues and a novel model fitting approach 热度:
* 题目: On the Importance of Large Objects in CNN Based Object Detection Algorithms* PDF: arxiv.org/abs/2311.1171* 作者: Ahmed Ben Saad,Gabriele Facciolo,Axel Davy* 题目: CastDet: Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning* PDF: arxiv.org/abs/...
This survey presents the first detailed survey on open vocabulary tasks, including open-vocabulary object detection, open-vocabulary segmentation, and 3D/video open-vocabulary tasks. Summary of Contents Methods: A Survey Keywords cap.: Use caption as auxiliary training data ...
MONOCULAR visionSTEREOSCOPIC camerasCOMPUTER visionAUTONOMOUS vehiclesAutonomous driving represents the future of transportation, and the precise detection of three-dimensional (3D) objects is a fundamental requirement for achieving autonomous driving capabilities. Presently, 3D object detection primarily...
论文:OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection 论文地址:https://arxiv.org/abs/2411.17761 该论文提出了一种新的开放世界自动驾驶测试基准OpenAD,旨在评估3D对象检测模型在不同场景下的性能表现,并针对现有的开放世界感知模型和专门用于自动驾驶的模型进行了分析比较。同时,该论文还...
Monocular 3D object detection methods are also the most disadvantaged; the problem formulation is under- constrained because depth information is lost when a 3D ∗Equal contribution. Figure 1. Pipeline for 3D Object Detection and Instance Point Cloud Estimation...
MonoEdge: Monocular 3D Object Detection Using Local Perspectives (Appendix) Minghan Zhu1*, Lingting Ge2, Panqu Wang2, Huei Peng1 1University of Michigan 2TuSimple Inc minghanz@umich.edu, lingting.ge@tusimple.ai, panqu.wang@tusimple.ai, hpeng@umich.edu 1. Depth and yaw from keyedge-...
Monocular RS and old map data: In many cases, pre-disaster high-resolution RS data of the affected region do not exist, precluding method 1 from being used. However, the old geo-databases containing building information can be used to guide the method to find changes in the building stock ...
Recently, the research on monocular 3D target detection based on pseudo-LiDAR data has made some progress. In contrast to LiDAR-based algorithms, the robustness of pseudo-LiDAR methods is still inferior. After conducting in-depth experiments, we realized that the main limitations are due to ...