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Found 5 papers, 4 papers with code
Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency
Then, we propose a graph matching approach to select correspondence objects based on the structure layout and semantic property similarity of vertices' neighbors.
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
This paper provides nontrivial results theoretically revealing that, \textit{1}) the cost of achieving perfect perception quality is exactly a doubling of the lowest achievable MSE distortion, \textit{2}) an optimal encoder for the "classic" rate-distortion problem is also optimal for the perceptual compression problem, \textit{3}) distortion loss is unnecessary for training a perceptual decoder.
Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm
Besides the convergence to a stationary point for a generalized nonconvex penalty, we provide more deep analysis on a popular and important class of nonconvex penalties which have discontinuous thresholding functions.
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN
Deep learning on point clouds has made a lot of progress recently.
Efficient Outlier Removal in Large Scale Global Structure-from-Motion
This work addresses the outlier removal problem in large-scale global structure-from-motion.
