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Found 4 papers, 1 papers with code
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images
Improving model robustness in case of corrupted images is among the key challenges to enable robust vision systems on smart devices, such as robotic agents.
Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network
In this work, we re-frame the task of multimodal semantic segmentation by enforcing a tightly-coupled feature representation and a symmetric information-sharing scheme, which allows our approach to work even when one of the input modalities is missing.
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data
To the best of our knowledge, this is the first example of class-incremental continual learning for LiDAR point cloud semantic segmentation.
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation
Recent advances in autonomous robotic technologies have highlighted the growing need for precise environmental analysis.
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