Survey and Systematization of 3D Object Detection Models and Methods 一些干货仓库 https://github....
3D Models and Viewpoints 如图Figure2 所示,我们先针对某类 object 收集 5-25 个模型。为模型选择几个有代表性的 pose 之后添加 texture 和 background。 Object/Background Color and Texture 我们把 real image 上面的 texture 裁剪下来给 model;针对 category 选择合适的 background 作为背景(比如对于飞机来说...
3D Object Detection这个任务的主要应用是无人驾驶的感知(车辆或行人的大小和位置可以用于后续的避障、控...
UniMODE: Unified Monocular 3D Object Detection Paper:https://arxiv.org/abs/2402.18573 Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors Paper:https://arxiv.org/abs/2403.06093 Code:https://github.com/nullmax-vision/QAF2D SAFDNet: A Simple and Effective Network for Fully Sparse...
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models. - PaddlePaddle/Paddle3D
point-cloudpytorchobject-detection3d-object-detection UpdatedJul 10, 2024 Python isl-org/Open3D-ML Star1.9k An extension of Open3D to address 3D Machine Learning tasks visualizationtensorflowpytorchlidarobject-detectionpretrained-modelsdatasetsrgbdsemantic-segmentation3d-object-detection3d-perception ...
3D Object Detection with Point-based Methods:基于Point的方法大多数都是使用PointNet(https://arxiv.org/abs/1612.00593)网络进行点云特征学习,这使得网络能有更灵活的感受野进行点云特征学习,同时也保留了点云的原始数据信息。 这其中的代表论文是PointRCNN(https://arxiv.org/abs/1812.04244),这是一个两阶段的...
PointPainting: Sequential Fusion for 3D Object Detection 作者团队:nuTonomy 文章地址 https://arxiv.org/pdf/1911.10150.pdf 本文研究了一种新的image和lidar的fusion方式,在18年SOTA的baseline上都显示出精度的提升,同时对小物体优于大物体;本文的fusion方式是采用二维语义分割信息通过lidar信息和image信息的变换矩阵...
[8] P2p: Tuning pre-trained image models for point cloud analysis with point-to-pixel prompting:https://arxiv.org/abs/2208.02812 [11] Prefix-tuning: Optimizing continuous prompts for generation:https://arxiv.org/abs/2101.00190 [12] An end-to-end transformer model for 3d object detection:htt...
[4] Yang S, Scherer S. CubeSLAM: Monocular 3d object detection and slam without prior models[J...