HyperAIHyperAI超神经
首页资讯论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
中文
HyperAIHyperAI超神经
  1. 首页
  2. SOTA
  3. 使用RGBD进行六维姿态估计
  4. 6D Pose Estimation Using Rgbd On Ycb Video

6D Pose Estimation Using Rgbd On Ycb Video

评估指标

Mean ADD

评测结果

各个模型在此基准测试上的表现结果

模型名称
Mean ADD
Paper TitleRepository
PoseCNN (ICP)79.3PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
RCVPose-Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
MaskedFusion93.3MaskedFusion: Mask-based 6D Object Pose Estimation
CMCL6D95.43Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal Integration-
PVN3D-PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
PoseCNN + DeepIM80.6DeepIM: Deep Iterative Matching for 6D Pose Estimation
RCVPose+ICP-Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
ALL PoseCNN+ICP-PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
0 of 8 row(s) selected.
HyperAI

学习、理解、实践,与社区一起构建人工智能的未来

中文

关于

关于我们数据集帮助

产品

资讯教程数据集百科

链接

TVM 中文Apache TVMOpenBayes

© HyperAI超神经

津ICP备17010941号-1京公网安备11010502038810号京公网安备11010502038810号
TwitterBilibili