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Found 9 papers, 6 papers with code
Self-Supervised Learning Based Handwriting Verification
We present SSL-HV: Self-Supervised Learning approaches applied to the task of Handwriting Verification.
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
Self-supervised learning provides an opportunity to explore unlabeled chest X-rays and their associated free-text reports accumulated in clinical routine without manual supervision.
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation
Pre-training visual and textual representations from large-scale image-text pairs is becoming a standard approach for many downstream vision-language tasks.
Attention based Writer Independent Handwriting Verification
The task of writer verification is to provide a likelihood score for whether the queried and known handwritten image samples belong to the same writer or not.
Ranked #1 on
Handwriting Verification
on AND Dataset
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
The pattern of Electroencephalogram (EEG) signal differs significantly across different subjects, and poses challenge for EEG classifiers in terms of 1) effectively adapting a learned classifier onto a new subject, 2) retaining knowledge of known subjects after the adaptation.
Hybrid Feature Learning for Handwriting Verification
Experiments are performed by complementing one of the HEF methods with one ALF method on 150000 pairs of samples of the word "AND" cropped from handwritten notes written by 1500 writers.
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model
Social dynamics is concerned primarily with interactions among individuals and the resulting group behaviors, modeling the temporal evolution of social systems via the interactions of individuals within these systems.
Sequential Labeling with online Deep Learning
Deep learning has attracted great attention recently and yielded the state of the art performance in dimension reduction and classification problems.
Evaluation of Rarity of Fingerprints in Forensics
The probability of random correspondence for several latent fingerprints are evaluated for varying numbers of minutiae.
