Industrial visual detection is an essential part in modern industry for equipment maintenance and inspection. With the recent progress of deep learning, advanced industrial object detectors are built for smart industrial applications. However, deep learning methods are known data-hungry: the processes of...
自然场景中总是出现罕见甚至未见过的物体,致使数据标注任务在当前的自动驾驶工业应用上需要持续进行,而这就需要消耗大量的人力投入,如下框架图所示(Cost以0.06 dollar/bounding box和1.1 dollar/GPU Hour进行人力和机器成本的计算),OVOD(Open Vocabulary Object Detection)或Semi-Supervised Learning的方案都需要持续的数据...
所提出的框架以端到端的方式进行训练,在训练期间采用集中式通信方案,在推理期间执行分布式通信方案。 为了评估所提出的点云协作 3D 对象检测框架的有效性,我们使用开源城市驾驶模拟器 Car Learning to Act 设计了一个新的数据集 CARLA-3D,包括环岛和 T 字路口驾驶场景(卡拉)[14]。对所提出的合作感知框架进行了分...
To improve the performances, in this study, we propose a deep learning approach for automatic teeth detection and numbering based on faster R-CNN with improved efficiencies and reduced workloads. Prior domain knowledge is also utilized to improve algorithm performance of the baseline faster R-CNN ...
This is the official implementation for "Learning to Split for Automatic Bias Detection." lscan learn to automatically split any dataset, such that models trained on the training set will not generalize to the testing set. The resultant splits are valuable as they can help us debug the dataset...
javascript multi-platform web annotation tool interpolation detection point-cloud automatic autonomous-driving mechanical-turk 3d 2d active-learning pointcloud semi-automatic surround 3d-object-detection bounding-box multi-view Updated Mar 7, 2024 TypeScript Coopydood / ultimate-macOS-KVM Sponsor Star ...
A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data Pattern Recognit., 77 (2018), pp. 160-172 View PDFView articleView in ScopusGoogle Scholar [6] X. Yuan Segmentation of blurry object by learning from examples Medical Imaging 2010: ...
In this paper, we present VisionTool, a Python toolbox for general-purpose markerless semantic features detection. VisionTool is based on transfer learning with deep neural networks, and has been designed to give appropriate importance to the following properties. (1) Versatility: the toolbox allow...
In contemporary biomedical research, the accurate automatic detection of cells within intricate microscopic imagery stands as a cornerstone for scientific advancement. Leveraging state-of-the-art deep learning techniques, this study introduces a novel am
A. 3D object detection from point clouds B. Collaborative 3D object detection C. Learning of communication III. PROBLEM STATEMENT 系统模型有N 个设施,每个设施都有雷达和处理器,设施 i 获取的点云数据为 S_i 。为了受益于协作感知,还假设自动驾驶车辆 v 配备有用于通信的无线接收系统,并且具有用于感知和...