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Found 7 papers, 0 papers with code
AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder
To easily obtain the knowledge about autism spectrum disorder and help its early screening and diagnosis, we create AsdKB, a Chinese knowledge base on autism spectrum disorder.
A Key Volume Mining Deep Framework for Action Recognition
Training with a large proportion of irrelevant volumes will hurt performance.
Learning Discriminative Reconstructions for Unsupervised Outlier Removal
We study the problem of automatically removing outliers from noisy data, with application for removing outlier images from an image collection.
Global Refinement of Random Forest
The global pruning is developed to reduce the model size as well as the over-fitting risk.
Face Alignment at 3000 FPS via Regressing Local Binary Features
The locality principle guides us to learn a set of highly discriminative local binary features for each facial landmark independently.
Face alignment by explicit shape regression
We present a very efficient, highly accurate, “Explicit Shape Regression” approach for face alignment.
Ranked #36 on
Face Alignment
on WFLW
Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification
Making a high-dimensional (e. g., 100K-dim) feature for face recognition seems not a good idea because it will bring difficulties on consequent training, computation, and storage.
Ranked #9 on
Age-Invariant Face Recognition
on CACDVS
