Hello, thank you for releasing the CORE code.
I noticed that the paper reports results for both 3D object detection and BEV semantic segmentation on the OPV2V dataset. However, in the current repository, I could mainly find the implementation and configuration files for the 3D detection task.
Could you please let me know whether the code for the BEV semantic segmentation task is available? In particular, I am interested in the following parts:
- BEV map decoder / segmentation head
- OPV2V map-label preprocessing
- Training configuration files
- Segmentation loss functions
- Evaluation and visualization scripts
I would like to reproduce the road, lane, and vehicle segmentation experiments reported in the paper for non-commercial academic research.
If the code is not currently public, I would greatly appreciate it if you could share the relevant implementation or provide some guidance.
Thank you very much for your time and your excellent work.
Hello, thank you for releasing the CORE code.
I noticed that the paper reports results for both 3D object detection and BEV semantic segmentation on the OPV2V dataset. However, in the current repository, I could mainly find the implementation and configuration files for the 3D detection task.
Could you please let me know whether the code for the BEV semantic segmentation task is available? In particular, I am interested in the following parts:
I would like to reproduce the road, lane, and vehicle segmentation experiments reported in the paper for non-commercial academic research.
If the code is not currently public, I would greatly appreciate it if you could share the relevant implementation or provide some guidance.
Thank you very much for your time and your excellent work.