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Found 10 papers, 1 papers with code
Natural World Distribution via Adaptive Confusion Energy Regularization
The Fine-Grained Visual Classification (FGVC) problem is notably characterized by two intriguing properties, significant inter-class similarity and intra-class variations, which cause learning an effective FGVC classifier a challenging task.
Quantum Interference for Counting Clusters
Counting the number of clusters, when these clusters overlap significantly is a challenging problem in machine learning.
ACE: Adaptive Confusion Energy for Natural World Data Distribution
With the development of deep learning, standard classification problems have achieved good results.
Fine-Grained Image Classification
Fine-Grained Visual Recognition
Fine-Grained Visual Classification with Batch Confusion Norm
We introduce a regularization concept based on the proposed Batch Confusion Norm (BCN) to address Fine-Grained Visual Classification (FGVC).
Ranked #17 on
Fine-Grained Image Classification
on FGVC Aircraft
Quantum Clustering and Gaussian Mixtures
In this algorithm, each class is described by a Gaussian distribution, defined by its mean and covariance.
A convolutional approach to reflection symmetry
We present a convolutional approach to reflection symmetry detection in 2D.
Quantum Pairwise Symmetry: Applications in 2D Shape Analysis
A pair of rooted tangents -- defining a quantum triangle -- with an associated quantum wave of spin 1/2 is proposed as the primitive to represent and compute symmetry.
Complex-Valued Hough Transforms for Circles
This paper advocates the use of complex variables to represent votes in the Hough transform for circle detection.
Mirror Symmetry Histograms for Capturing Geometric Properties in Images
We propose a data structure that captures global geometric properties in images: Histogram of Mirror Symmetry Coefficients.
A Geometric Descriptor for Cell-Division Detection
We describe a method for cell-division detection based on a geometric-driven descriptor that can be represented as a 5-layers processing network, based mainly on wavelet filtering and a test for mirror symmetry between pairs of pixels.
