因此,需要一个更加动态、更具挑战性的视频数据集来充分探索视觉语言模型在开放词汇学习中的潜力。 2) 3D open vocabulary场景理解 与图像和视频相比,点云数据的标注成本更高,特别是对于密集的预测任务。因此,3D open vocabulary场景理解的研究需求更加迫切。当前的 3D open vocabulary场景理解解决方案侧重于设计投影功能...
Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning 来自北大和伯克利的团队,首次定义了3D领域的OVD任务,并提出了3Detic,它很大程度上参考了ECCV2022上Detic工作。 3Detic模型结构图 主要分类两个阶段: 利用有标注的3D点云数据+对应的2D投影图+ImageNet1K图像,联合训...
speech image-editing caption data-generation 3d-whole-body-pose-estimation open-vocabulary-detection open-vocabulary-segmentation automatic-labeling-system Updated Sep 5, 2024 Jupyter Notebook roboflow / notebooks Star 5.5k Code Issues Pull requests Discussions Examples and tutorials on using SOTA ...
Real-Time Open-Vocabulary Object Detection:使用Ultralytics框架进行YOLO-World目标检测 前言 相关介绍 前提条件 实验环境 安装环境 项目地址 Linux Windows 使用Ultralytics框架进行YOLO-World目标检测 进行训练 进行预测 进行验证 扩展 目标跟踪 设置提示 参考文献 前言 由于本人水平有限,难免出现错漏,敬请批评改正。 ...
📖 CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection (NeurIPS2023) 🔥Please star CoDA ⭐ and share it. Thanks🔥 [Paper] [Project Page] Yang Cao, Yihan Zeng,Hang Xu,Dan Xu ...
In this paper, we propose OpenSight, a more advanced 2D-3D modeling framework for LiDAR-based open-vocabulary detection. OpenSight utilizes 2D-3D geometric priors for the initial discernment and localization of generic objects, followed by a more specific semantic interpretation of the detected ...
the first paper which proposes the task of "open-vocabulary object detection" 2 introduction OD:each category needs thousands of bounding boxes; stage 1: use {image, caption} pairs to learn a visual semantic space; stage 2: use annotated boxes for several classes to train object detection; ...
OVD任务具体可以参照第一篇论文:https://www.jianshu.com/p/b23de6b4476b Previous existing method:leverage image-text pretraining, via knowledge distillation, weak supervision, self-training, and frozen model but on CNNs; assume pretrained VLM are given, and develop adaptation or finetuning recipes...
Autonomous driving in complex urban scenarios requires 3D perception to be both comprehensive and precise. Traditional 3D perception methods focus on objec... C Chen,R Wang,Y Guo,... 被引量: 0发表: 2024年 Achieving Adaptive Visual Multi-Object Tracking with Unscented Kalman Filter As an essenti...
3d object representations for fine-grained categorization. 2013 IEEE International Conference on Computer Vision Workshops, pages 554–561, 2013. [32] Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, and René Ranftl. Language-driven semantic segmentation. ArXiv, abs/2201.03...