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SOTA
鸟瞰图物体检测
Birds Eye View Object Detection On Kitti
Birds Eye View Object Detection On Kitti
评估指标
AP
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AP
Paper Title
PV-RCNN
68.89%
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
STD
65.32%
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
PointPillars
62.25%
PointPillars: Fast Encoders for Object Detection from Point Clouds
F-PointNet
61.96%
Frustum PointNets for 3D Object Detection from RGB-D Data
AVOD-FPN
57.48%
Joint 3D Proposal Generation and Object Detection from View Aggregation
VoxelNet
54.76%
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
0 of 6 row(s) selected.
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HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
服务条款
隐私政策
中文
HyperAI
HyperAI超神经
Toggle Sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
算力平台
首页
SOTA
鸟瞰图物体检测
Birds Eye View Object Detection On Kitti
Birds Eye View Object Detection On Kitti
评估指标
AP
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AP
Paper Title
PV-RCNN
68.89%
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
STD
65.32%
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
PointPillars
62.25%
PointPillars: Fast Encoders for Object Detection from Point Clouds
F-PointNet
61.96%
Frustum PointNets for 3D Object Detection from RGB-D Data
AVOD-FPN
57.48%
Joint 3D Proposal Generation and Object Detection from View Aggregation
VoxelNet
54.76%
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
0 of 6 row(s) selected.
Previous
Next
Birds Eye View Object Detection On Kitti | SOTA | HyperAI超神经