Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Hello,
Thanks for maintaining this awesome repo ! I would like to suggest a new method for the Lidar and point cloud processing section.
Superpoint Transformer is an active project for efficient 3D deep learning. The project implements two papers for semantic and panoptic segmentation, repsectively. This project is from the same authors as superpoint_graph (already in the list) and improves it in all regards: faster, better performance, better codebase, more datasets, more pretrained models, new panoptic task...
Besides, this active project involves both academic and industrial users. It counts several undergoing extension projects that will likely offer more features in the near future: better cross-platform support, improved 3D pipeline, additional modalities.
Thanks for considering this PR 🙏