Zobrazeno 1 - 10
of 11 466
pro vyhledávání: '"cloud analysis"'
Point cloud is often regarded as a discrete sampling of Riemannian manifold and plays a pivotal role in the 3D image interpretation. Particularly, rotation perturbation, an unexpected small change in rotation caused by various factors (like equipment
Externí odkaz:
http://arxiv.org/abs/2411.01748
In recent years, point cloud analysis methods based on the Transformer architecture have made significant progress, particularly in the context of multimedia applications such as 3D modeling, virtual reality, and autonomous systems. However, the high
Externí odkaz:
http://arxiv.org/abs/2408.05508
This paper investigates the 3D domain generalization (3DDG) ability of large 3D models based on prevalent prompt learning. Recent works demonstrate the performances of 3D point cloud recognition can be boosted remarkably by parameter-efficient prompt
Externí odkaz:
http://arxiv.org/abs/2410.20406
Neural architecture search (NAS) automates neural network design by using optimization algorithms to navigate architecture spaces, reducing the burden of manual architecture design. While NAS has achieved success, applying it to emerging domains, suc
Externí odkaz:
http://arxiv.org/abs/2408.05556
In the domain of point cloud analysis, despite the significant capabilities of Graph Neural Networks (GNNs) in managing complex 3D datasets, existing approaches encounter challenges like high computational costs and scalability issues with extensive
Externí odkaz:
http://arxiv.org/abs/2407.00921
Mamba, based on state space model (SSM) with its linear complexity and great success in classification provide its superiority in 3D point cloud analysis. Prior to that, Transformer has emerged as one of the most prominent and successful architecture
Externí odkaz:
http://arxiv.org/abs/2406.06069
Point cloud analysis has seen substantial advancements due to deep learning, although previous Transformer-based methods excel at modeling long-range dependencies on this task, their computational demands are substantial. Conversely, the Mamba offers
Externí odkaz:
http://arxiv.org/abs/2405.15463
Autor:
Wu, Chengzhi, Wang, Kaige, Zhong, Zeyun, Fu, Hao, Zheng, Junwei, Zhang, Jiaming, Pfrommer, Julius, Beyerer, Jürgen
In recent years, there have been significant advancements in applying attention mechanisms to point cloud analysis. However, attention module variants featured in various research papers often operate under diverse settings and tasks, incorporating p
Externí odkaz:
http://arxiv.org/abs/2407.19294
Pre-trained large-scale models have exhibited remarkable efficacy in computer vision, particularly for 2D image analysis. However, when it comes to 3D point clouds, the constrained accessibility of data, in contrast to the vast repositories of images
Externí odkaz:
http://arxiv.org/abs/2407.13200