IEEE

Hierarchical Self-Distilled Feature Learning for Fine-Grained Visual Categorization

Abstract: Fine-grained visual categorization (FGVC) relies on hierarchical features extracted by deep convolutional neural networks (CNNs) to recognize closely alike objects. Particularly, shallow ...
IEEE

Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG

Abstract: Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) is challenging. In this work, inspired by the powerful abilities of deep learning ...
GitHub

Temporal and cross-modal attention for audio-visual zero-shot learning

We base our datasets on the AVCA repository. The dataset structure is identical to AVCA and the dataset folder is called avgzsl_benchmark_non_averaged_datasets. The only difference is that we use ...