1 citations · 2 across the 3 of their papers we have counts for
3 papers
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View
Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi +2
Fine-grained grocery object recognition is an important computer vision problem with broad applications in automatic checkout, in-store robotic navigation, and assistive technologi…
PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark
Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib +1
Point clouds offer comprehensive and precise data regarding the contour and configuration of objects. Employing such geometric and topological 3D information of objects in class in…
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
Tejas Anvekar, Dena Bazazian
In the realm of 3D-computer vision applications, point cloud few-shot learning plays a critical role. However, it poses an arduous challenge due to the sparsity, irregularity, and…