Search Results for author:
Found 6 papers, 1 papers with code
Multimodal Neuroimaging Attention-Based architecture for Cognitive Decline Prediction
The proposed MNA-net is tested in OASIS-3 dataset and is able to predict CN individuals who converted to MCI or AD with an accuracy of 83%, true negative rate of 80%, and true positive rate of 86%.
WEmbSim: A Simple yet Effective Metric for Image Captioning
The area of automatic image caption evaluation is still undergoing intensive research to address the needs of generating captions which can meet adequacy and fluency requirements.
LCEval: Learned Composite Metric for Caption Evaluation
Automatic evaluation metrics hold a fundamental importance in the development and fine-grained analysis of captioning systems.
SubICap: Towards Subword-informed Image Captioning
In this work we address this common limitation of IC systems in dealing with rare words in the corpora.
NNEval: Neural Network based Evaluation Metric for Image Captioning
The automatic evaluation of image descriptions is an intricate task, and it is highly important in the development and fine-grained analysis of captioning systems.
Learning-based Composite Metrics for Improved Caption Evaluation
The evaluation of image caption quality is a challenging task, which requires the assessment of two main aspects in a caption: adequacy and fluency.
