Search Results for author:
Found 4 papers, 2 papers with code
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
This approach generates discriminative classes, effectively classifying both seen and unseen classes.
Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER)
This paper introduces an approach designed to improve the performance of neural models in learning reasoning tasks.
A Comprehensive Review of Automated Data Annotation Techniques in Human Activity Recognition
Human Activity Recognition (HAR) has become one of the leading research topics of the last decade.
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning
Recent works proposed different semantic autoencoder (SAE) models where the encoder embeds a visual feature vector space into the semantic space and the decoder reconstructs the original visual feature space.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
