Search Results for author:
Found 5 papers, 2 papers with code
Koopman Methods for Estimation of Animal Motions over Unknown Submanifolds
It is assumed that motions are supported on a low-dimensional, unknown configuration manifold $Q$ that is regularly embedded in high dimensional Euclidean space $X:=\mathbb{R}^d$.
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
It also outperforms state-of-the-art methods on ScanObjectNN, a real-world point cloud benchmark, and demonstrates better cross-dataset generalization.
Ranked #18 on
Point Cloud Classification
on PointCloud-C
Revisiting Point Cloud Classification with a Simple and Effective Baseline
It also outperforms state-of-the-art methods on ScanObjectNN, a real-world point cloud benchmark, and demonstrates better cross-dataset generalization.
Ranked #11 on
3D Point Cloud Classification
on ModelNet40-C
Learning Hash Codes via Hamming Distance Targets
We present a powerful new loss function and training scheme for learning binary hash codes with any differentiable model and similarity function.
Convolutional Hashing for Automated Scene Matching
We present a powerful new loss function and training scheme for learning binary hash functions.
