Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sheshappanavar, Shivanand Venkanna"'
In this paper, we discuss Mahalanobis k-NN: a statistical lens designed to address the challenges of feature matching in learning-based point cloud registration when confronted with an arbitrary density of point clouds, either in the source or target
Externí odkaz:
http://arxiv.org/abs/2409.06267
Due to their text-to-image synthesis feature, diffusion models have recently seen a rise in visual perception tasks, such as depth estimation. The lack of good-quality datasets makes the extraction of a fine-grain semantic context challenging for the
Externí odkaz:
http://arxiv.org/abs/2409.06183
Autor:
Sheshappanavar, Shivanand Venkanna, Anvekar, Tejas, Kundargi, Shivanand, Wang, Yufan, Kambhamettu, Chandra
Fine-grained grocery object recognition is an important computer vision problem with broad applications in automatic checkout, in-store robotic navigation, and assistive technologies for the visually impaired. Existing datasets on groceries are mainl
Externí odkaz:
http://arxiv.org/abs/2402.07819
With advances in deep learning model training strategies, the training of Point cloud classification methods is significantly improving. For example, PointNeXt, which adopts prominent training techniques and InvResNet layers into PointNet++, achieves
Externí odkaz:
http://arxiv.org/abs/2212.05140