3D Object detection: 3D物体检测的主要目的是使用3D边界框识别感兴趣的物体并给出类标签。3D方法分为三类:基于图像的; 基于点云的; 基于多模态融合的。 3.2 Transformer for segmentation 自注意机制可用于分割任务,提供像素级的预测结果。Panoptic segmentation通过提供逐像素的类和实例标签,
[1] Girshick et al., Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, 2014. [2] Girshick, Fast R-CNN, 2015. [3] Ren et al., Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, 2016. [4] Lin et al., Feature Pyramid Networks ...
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection 标题:学习可靠的定位质量估计用于密集目标检测 论文:https://arxiv.org/abs/2011.12885 代码:https://github.com/implus/GFocalV2 详细解读:大白话 Generalized Focal Loss V2,https://zhuanlan.zhihu.com/p/3...
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection 标题:学习可靠的定位质量估计用于密集目标检测 论文:https://arxiv.org/abs/2011.12885 代码:https:///implus/GFocalV2 详细解读:大白话 Generalized Focal Loss V2,https://zhuanlan.zhihu.com/p/313684358 本...
图像分割算法一般是基于亮度值的两个基本特征之一: 不连续性和相似性。 分割的越细致,通过后期的深度提取与深度赋值产生的3D世界就越有深度感。 从深度线索中提取深度 基于深度提取算法所依赖的深度线索我们可以将深度提取算法分为12类。 根据立体的效果,要不断的调整获取的深度信息,人工很浪费时间。
听我说,Transformer它就是个支持向量机 HDRUNet | 深圳先进院董超团队提出带降噪与反量化功能的单帧HDR重建算法 南科大提出ORCTrack | 解决DeepSORT等跟踪方法的遮挡问题,即插即用真的很香 1800亿参数,世界顶级开源大模型Falcon官宣!碾压LLaMA 2,性能直逼GPT-4 ...
1. Introduction 3D object detection is a fundamental task in many real- world applications such as robotics and autonomous driv- ing. Although LiDAR-based methods [37, 40, 23, 33] have achieved impressive results with the help of accurate 3D perception from LiDAR, multi...
In this paper, we consider the task of one-shot object detection, which consists in detecting objects defined by a single demonstration. Differently from the standard object detection, the classes of objects used for training and testing do not overlap.
Further, an effective vision-based control technique is designed to control the 2-DOF robotic arm with the help of real-time response of object detection system. The validation of proposed control strategy is done by performing a simulation and experimental investigations with CoppeliaSim robot ...
2020 年 5 月,Andrej Karpathy 在 Twitter 上转发了一篇由 Facebook 研究院发表的论文《End-to-End Object Detection with Transformers》,该论文提出了一种通过 Transformer 进行端到端图像目标检测的方法,而且非常有效果。 2020 年 8 月,马斯克在推特上宣布了架构重写的消息。 2021 年 8 月 19 日,在特斯拉...