Our EA-LSS framework is compatible for any LSS-based 3D object detection models, and effectively boosts their performances with negligible increment of inference time. Experiments …

Download a pre-trained BEV vehicle segmentation model from here: https://drive.google.com/file/d/1bsUYveW_eOqa4lglryyGQNeC4fyQWvQQ/view?usp=sharing

A novel and effective exploration of geometric modeling with intance representation for the modern LSS-based BEV detection.

Our EA-LSS framework is compatible for any LSS-based 3D object detection models, and effectively boosts their performances with negligible increment of inference time. Experiments …

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection - hht1996ok/EA-LSS

We conduct the BEV-space augmentation (GlobalRotScaleTransBEV and RandomFlip3DBEV) implemented by BEVFusion-mit. You can also refer BEVDet, DEVDepth for more …

In this work, the authors present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving …

Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline Better Inference Implementation Thanks to the repository CUDA-FastBEV inference using CUDA & TensorRT.

Jun 16, 2023 · FB-BEV and FB-OCC are a family of vision-centric 3D object detection and occupancy prediction methods based on forward-backward view transformation.

A novel and effective exploration of geometric modeling with intance representation for the modern LSS-based BEV detection.