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Found 7 papers, 1 papers with code
Claycode: Stylable and Deformable 2D Scannable Codes
This paper introduces Claycode, a novel 2D scannable code designed for extensive stylization and deformation.
SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality
3D Gaussian Splatting (3DGS) has significantly improved the efficiency and realism of three-dimensional scene visualization in several applications, ranging from robotics to eXtended Reality (XR).
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics
In this paper, we introduce Per-corruption Adaptation of Normalization statistics (PAN) to enhance the model robustness of vision systems.
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
State-of-the-art multimodal semantic segmentation strategies combining LiDAR and color data are usually designed on top of asymmetric information-sharing schemes and assume that both modalities are always available.
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.
