Search Results for author:
Found 9 papers, 0 papers with code
Machine Learning and Vision Transformers for Thyroid Carcinoma Diagnosis: A review
The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable.
Advancing Person Re-Identification: Tensor-based Feature Fusion and Multilinear Subspace Learning
Person re-identification (PRe-ID) is a computer vision issue, that has been a fertile research area in the last few years.
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses
Kinship verification using facial photographs captured in the wild is difficult area of research in the science of computer vision.
Enhancing Person Re-Identification through Tensor Feature Fusion
In this paper, we present a novel person reidentification (PRe-ID) system that based on tensor feature representation and multilinear subspace learning.
Fusion of Deep and Shallow Features for Face Kinship Verification
Kinship verification from face images is a novel and formidable challenge in the realms of pattern recognition and computer vision.
Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision.
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable diseases.
Improving CNN-based Person Re-identification using score Normalization
For example, without normalization, the rank-20 rate accuracies of the GRID, CUHK01, VIPeR and PRID450S datasets were 61. 92%, 83. 90%, 92. 03%, 96. 22%; however, after score normalization, they have increased to 64. 64%, 89. 30%, 92. 78%, and 98. 76%, respectively.
Multi-view Deep Features for Robust Facial Kinship Verification
We refer that we used the SSC method in RFIW'20 competition using the eight deep features concatenation.
