抓取检测之GraspCNN: Real-Time Grasp Detection Using a New Oriented Diameter Circle Representation

时间 2021-01-05

标签抓取检测繁體版

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来源 Y. Xu, L. Wang, A. Yang and L. Chen, “GraspCNN: Real-Time Grasp Detection Using a New Oriented Diameter Circle Representation,” in IEEE Access, vol. 7, pp. 159322-159331, 2019 摘要使用有向直径圆表示抓取姿势，使用端到

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1. 抓取检测之Robotic Grasp Detection using Deep Convolutional Neural Networks
2. Realtime Anomaly Detection Using Trajectory-Level Crowd Behavior Learning
3. ROS的抓取姿态检测
4. 抓取检测之Task-oriented Grasping in Object Stacking Scenes with CRF-based Semantic Model
5. 【行人检测】High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection/CSP
6. DCI：The DCI Architecture: A New Vision of Object-Oriented Programming
7. 抓取检测之七维矩形抓取框
8. 抓取检测论文总结之Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
9. 机器人抓取汇总|涉及目标检测、分割、姿态识别、抓取点检测、路径规划
10. 【人脸检测】Radpid Object Detection using a Boosted Cascade of Simple Features

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