HyperAIHyperAI
HomeConsoleDocsNewsPapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Command Palette

Search for a command to run...

3D Object Detection On Waymo Open Dataset

Metrics

mAPH/L2

Results

Performance results of various models on this benchmark

Paper TitleRepository
LION74.0LION: Linear Group RNN for 3D Object Detection in Point Clouds
HEDNet73.4HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
AVS-Net72.4AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding
DSVT72.1DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
X-Ray DSVT Pillar-Scaled71.4Do You Remember . . . the Future? Weak-to-Strong generalization in 3D Object Detection-
PV-RCNN++69.5PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
CenterFormer68.9CenterFormer: Center-based Transformer for 3D Object Detection
CenterPoint65.8Center-based 3D Object Detection and Tracking
0 of 8 row(s) selected.
3D Object Detection On Waymo Open Dataset | SOTA | HyperAI