Recent years have witnessed a surge of interest in semi-supervised learning-based object detection. Object detection is usually accomplished by classification methods. Different from conventional methods, those
detection pytorch detector dataset pedestrian-detection multiview Updated Apr 14, 2025 Python ai4ce / MSG Star 112 Code Issues Pull requests [NeurIPS2024] Multiview Scene Graph (topologically representing a scene from unposed images by interconnected place and object nodes) computer-vision deep-...
Learning methods for multiview correspondence estimation 3D Object reconstruction from multiple views Joint registration and segmentation of multiple scans Joint matching of multiple non-rigid surfaces Multiview object detection Multi-object Instance reconstruction ...
Detection is one of the cornerstones of computer vision, and CNN-based object detection methods can be divided into two-stage detectors and single-stage detectors [18], [19]. Two-stage object detectors, such as the R-CNN family and the FPN family [20], [21], have achieved good performan...
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries 这篇论文的四个作者分别来自麻省理工学院、丰田研究院、卡耐基梅隆大学、理想汽车,最近被CORL 2021接收。 论文链接:https://export.arxiv.org/abs/2110.06922 官方开源代码:https://github.com/WangYueFt/detr3d Abstract ...
【3D 目标检测】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles ,hard drops(可能是因为图片包含严重的遮挡,generated BEVs 降低性能) Conclusion 使用GANs从2D图像生成3D数据可以使性能接近最先进的3D对象检测器 提出了两种... encoder-decoder networkwitha novel projecti...
Rich feature hierarchies for accurate object detection and semantic segmentation. In IEEE Conference on Computer Vision and Pattern Recognition 580–587 (IEEE, 2014). Xie, J., Xu, L. & Chen, E. Image denoising and inpainting with deep neural networks. In Advances in Neural Information ...
A scene representation is either metric, such as landmark maps in 3D reconstruction, 3D bounding boxes in object detection, or voxel grids in occupancy prediction, or topological, such as pose graphs with loop closures in SLAM or visibility graphs in SfM. In this work, we propose to build ...
3D bounding boxes object detection voxel grids occupancy prediction topological, such as pose graphs with loop closures SLAM visibility graphs SfM Multiview Scene Graphs (MSG) from unposed images, representing a scene topologically with interconnected place and object nodes. ...
【3D目标检测】VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection论文综述(2017) 1、 为什么要做这个研究(理论走向和目前缺陷) ? 这时的基于3D CNN来做的3D目标检测体素化之后全都是手工设计特征表达,即体素网格中的点一般选取最高点z值、网格中数目等作为该体素网格表达,手工设计的...