Coping with overfitting problems of image caption models for service robotics applications
Journal
Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
Pages
815-820
Date Issued
2019
Author(s)
Chang Lin, H.
Abstract
Image captioning is a task for generating the sentence to properly describe the image. This is a difficult task because multiple concepts should be captured by the model from the given images, such as object recognition, human detection, action recognition, etc. Therefore, if using the traditional data-driven approach to solve this problem, there will be an upper limit of the performance due to the random selection for training images. Most of the case, overfitting is a major problem. Therefore, we propose several indicators and observe some insights about overfitting in image captioning tasks. Finally, we propose a dynamically increasing threshold method to observe the stability and reliability of the image captioning model.
Type
conference paper