
CVPR 2024开源 | VSRD:无需LiDAR和标注,使用2D渲染解决3D检 …
2024年4月16日 · 本文提出了一种名为 VSRD(Volumetric Silhouette Rendering for Detection)的新型弱监督 3D 检测框架。 这种训练框架不需要使用任何3D GT标签或者LiDAR点云,只凭借 …
VSRD: Instance-Aware Volumetric Silhouette Rendering for …
2024年3月29日 · To tackle this problem, we propose a novel weakly supervised 3D object detection framework named VSRD (Volumetric Silhouette Rendering for Detection) to train 3D …
detection framework named VSRD (Volumetric Silhouette Rendering for Detection) to train 3D object detectors with-out any 3D supervision but only weak 2D supervision. VSRD consists of …
GitHub - skmhrk1209/VSRD: The official Implementation of "VSRD ...
VSRD optimizes the 3D bounding boxes and residual signed distance fields (RDF) for each target frame. The optimized 3D bounding boxes can be used as pseudo labels for training of any 3D …
CVPR 2024 Open Access Repository
To tackle this problem we propose a novel weakly supervised 3D object detection framework named VSRD (Volumetric Silhouette Rendering for Detection) to train 3D object detectors …
arxiv论文整理20240330-0405(目标检测方向) - 知乎专栏
2024年4月9日 · 为了解决这个问题,我们提出了一种新颖的弱监督三维目标检测框架,名为 VSRD(Volumetric Silhouette Rendering for Detection),用于在仅具备弱二维监督而无三维 …
VSRD: Instance-Aware Volumetric Silhouette Rendering
In this paper, we propose a novel weakly supervised 3D object detection framework named VSRD, which consists of multi-view 3D auto-labeling and subsequent training of monocular 3D …
CV - Liu Zihua
Duties included: As a researcher intern, we developed VSRD, a novel method for monocular 3D objectdetection with weak 2D supervision, avoiding the need for3D labels. Our approach …
【计算机视觉前沿研究 热点 顶会】CVPR 2024中与目标检测相关的 …
2024年7月12日 · 本文介绍了一种雷达与摄像机融合的鸟瞰三维目标检测方法 RCBEVDet。 提出了第一个在线非对称半监督框架 A-Teacher,用于基于 LiDAR 的 3D 目标检测。 我们的动机源 …
VSRD/scripts/main.py at master · skmhrk1209/VSRD - GitHub
The official Implementation of "VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection" [CVPR 2024] - skmhrk1209/VSRD