SmallData Symposium 2024

Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters

URL:
https://ieeexplore.ieee.org/abstract/document/11247689
Publication date:
2025/10/01
Authors:
Julia Hindel, Rohit Mohan, Jelena Bratulić, Daniele Cattaneo, Thomas Brox, Abhinav Valada
Conference name:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Keywords: Artificial Neural Network: Convolutional Neural Network, Artificial Neural Network: Transformers, Computer Vision, Few-shot Learning, Foundation model: Other, Imaging Data, Python, Supervised Learning, Transfer Learning

Related Resources

BALViT
Model, algorithm or code
BALVit
Website
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters
Original Preprint
Label-Efficient LiDAR Scene Understanding with 2D-3D Vision Transformer Adapters
Poster from presentation

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Administrative Manager

Marc Schumacher

Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg