IEEE

A Simple Framework of Few-Shot Learning Using Sparse Annotations for Semantic Segmentation of 3-D Point Clouds

Abstract: The semantic segmentation of point clouds plays a crucial role in the interpretation of 3-D scene. However, the majority of supervised learning methods needs a great number of annotated data ...
IEEE

Sparse Annotation, Dense Supervision: Unleashing Self-Training Power for Occupancy Prediction With 2D Labels

Abstract: Serving as a fundamental task in robotic navigation and autonomous driving, occupancy prediction is gaining increasing attention for its fine-grained perception of the 3D environment. Most ...
GitHub

AMP(Wavelet-enhanced Foundation Model Adaptation for Weakly Supervised Urban Tree Canopy Mapping)

We sincerely acknowledge the following works for their valuable contributions and inspiration to this project: SparseFormer: A Credible Dual-CNN Expert-Guided Transformer for Remote Sensing Image ...
GitHub

Annotation fails on sparse h5ad file if model trained with

If you train a model with the with_mean kwarg set to False and then try to annotate an h5ad file stored as a sparse matrix, you get the following failure Traceback ...