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Found 8 papers, 2 papers with code
Best Practices for a Handwritten Text Recognition System
Handwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications.
Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring
Recent advances in segmentation-free keyword spotting treat this problem w. r. t.
Automatic Video Colorization using 3D Conditional Generative Adversarial Networks
In this work, we present a method for automatic colorization of grayscale videos.
Human Activity Recognition Using Robust Adaptive Privileged Probabilistic Learning
In this work, a novel method based on the learning using privileged information (LUPI) paradigm for recognizing complex human activities is proposed that handles missing information during testing.
Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification
In this paper, we introduce a novel method to combine the advantages of both multi-task and curriculum learning in a visual attribute classification framework.
Inferring Human Activities Using Robust Privileged Probabilistic Learning
Classification models may often suffer from "structure imbalance" between training and testing data that may occur due to the deficient data collection process.
Curriculum Learning for Multi-Task Classification of Visual Attributes
Visual attributes, from simple objects (e. g., backpacks, hats) to soft-biometrics (e. g., gender, height, clothing) have proven to be a powerful representational approach for many applications such as image description and human identification.
Predicting Privileged Information for Height Estimation
In this paper, we propose a novel regression-based method for employing privileged information to estimate the height using human metrology.
