# ViewPCL: a point cloud based active learning method for multi-view segmentation

arXiv: https://arxiv.org/abs/2506.13043 · HTML: https://mlsanity.com/paper/2506.13043/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 1 references that are in the map.
- First posted on arXiv 16 Jun 2025.

## Abstract (arXiv)

We propose a novel active learning framework for multi-view semantic segmentation. This framework relies on a new score that measures the discrepancy between point cloud distributions generated from the extra geometrical information derived from the model's prediction across different views. Our approach results in a data efficient and explainable active learning method. The source code is available at https://github.com/chilai235/viewpclAL.