然后,讨论了点监督定向检测和其他弱监督设置的方法。 RBox-supervised Oriented Detection 代表性工作包括基于 Anchor 点的检测器 Rotated RetinaNet (Lin等人,2020年), Anchor-Free 点检测器 Rotated FCOS,以及两阶段解决方案,例如 RoI Transformer (Ding等人,2019年),O
Object recognition using single-point supervision has attracted increasing attention recently. However, the performance gap compared with fully-supervised algorithms remains large. Previous works generated class-agnostic extbf{extit{proposals in an image}} offline and then treated mixed candidates as a ...
GitHub - taugeren/PointOBB-v2: Official Repo of "PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection"github.com/taugeren/PointOBB-v2/ 前序文章PointOBB文章链接: https://arxiv.org/pdf/2311.14757arxiv.org/pdf/2311.14757 Point2RBox文章链接...
文章链接: Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instancesarxiv.org/abs/2502.04268 代码链接: https://github.com/VisionXLab/point2rbox-v2github.com/VisionXLab/point2rbox-v2 可视化展示:二...
Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022) - jshilong/GroupRCNN
SuperPoint: Self-Supervised Interest Point Detection and Description Daniel DeTone Magic Leap Sunnyvale, CA ddetone@magicleap.com Tomasz Malisiewicz Magic Leap Sunnyvale, CA tmalisiewicz@magicleap.com Andrew Rabinovich Magic Leap Sunnyvale, CA arabinovich@magicleap.com Abstract This ...
git clone https://github.com/Zengyi-Qin/Weakly-Supervised-3D-Object-Detection.git Enter the main folder and run installation: pip install -r requirements.txt Download thedemo datato the main folder and rununzip vs3d_demo.zip. Readers can try out the quick demo with Jupyter Notebook: ...
The point supervised module is similar to the attention guided detection module [7], which are both used to detect the location of each person. The above objectives are integrated via a collaborative learning strategy. In order to address the third challenge above, we add three convolutional ...
Indoor point cloud Object detection Multi-head attention mechanism Deep multi-scale contextual feature Deep learning 1. Introduction The efficient and accurate detection of indoor objects based on 3D point cloud has become very important for the success of various indoor applications, including real-time...
【TIP 2021】A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds 论文贡献 论文贡献主要包括4个工作: 设计网络模型Crowd-SDNet基于点标注信息进行人群检测; 基于局部均匀分布假设初始化box size; crowdness-aware Loss监督box size回归; ...