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Found 12 papers, 2 papers with code
CRAFT: Contextual Re-Activation of Filters for face recognition Training
We show that CRAFT reduces fraction of inactive filters from 44% to 32% on average and discovers filter patterns not found by standard training.
Our Deep CNN Face Matchers Have Developed Achromatopsia
We show that such matchers achieve essentially the same accuracy on the grayscale or the color version of a set of test images.
Distinguishing a planetary transit from false positives: a Transformer-based classification for planetary transit signals
Models, such as the Transformer architecture, were recently proposed for sequential data with successful results.
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift
Consequently, we propose a scalable and easily adaptable approach based on an informative regularization and an ad-hoc training procedure to mitigate the shift problem during the training of a multi-layer perceptron for RR Lyrae classification.
Identity Document to Selfie Face Matching Across Adolescence
Matching live images (``selfies'') to images from ID documents is a problem that can arise in various applications.
Graph Representation for Face Analysis in Image Collections
Given an image collection of a social event with a huge number of pictures, it is very useful to have tools that can be used to analyze how the individuals --that are present in the collection-- interact with each other.
Automated Detection of Welding Defects without Segmentation
We believe that the proposed approach opens new possibilities in the field of automated detection of welding defects
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques
Although face recognition systems have achieved impressive performance in recent years, the low-resolution face recognition (LRFR) task remains challenging, especially when the LR faces are captured under non-ideal conditions, as is common in surveillance-based applications.
Face Recognition in Low Quality Images: A Survey
Its applications lie widely in the real-world environment when high-resolution or high-quality images are hard to capture.
Seed-Point Detection of Clumped Convex Objects by Short-Range Attractive Long-Range Repulsive Particle Clustering
Locating the center of convex objects is important in both image processing and unsupervised machine learning/data clustering fields.
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation.
Action Recognition in Video Using Sparse Coding and Relative Features
In terms of the method to obtain key-sequences, we introduce a loss function that, for each video, leads to the identification of a sparse set of representative key-frames capturing both, relevant particularities arising in the input video, as well as relevant generalities arising in the complete class collection.
