Open Access
| Issue |
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 6 | |
| Section | Data and Signal Processing | |
| DOI | https://doi.org/10.1051/matecconf/201927702006 | |
| Published online | 02 April 2019 | |
- Kafle, K. and C. Kanan. Answer-Type Prediction for Visual Question Answering. in Computer Vision and Pattern Recognition. (2016). [Google Scholar]
- Malinowski, M. and M. Fritz. A multi-world approach to question answering about real-world scenes based on uncertain input. in Advances in Neural Information Processing Systems. (2014). [Google Scholar]
- Johnson, J., et al., CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. (2017). [Google Scholar]
- Zhou, B., et al., Simple Baseline for Visual Question Answering. Computer Science, (2015). [Google Scholar]
- Andreas, J., et al. Neural Module Networks. in IEEE Conference on Computer Vision and Pattern Recognition. (2016). [Google Scholar]
- Johnson, J., et al., Inferring and Executing Programs for Visual Reasoning. (2017). [Google Scholar]
- Santoro, A., et al., A simple neural network module for relational reasoning. (2017). [Google Scholar]
- Sak, H., A. Senior, and F. Beaufays, Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition. Computer Science, (2014): p. 338-342. [Google Scholar]
- Andreas, J., et al., Deep Compositional Question Answering with Neural Module Networks. Computer Science, (2015). 27: p. 55-56. [Google Scholar]
- He, K., et al., Mask R-CNN. IEEE Transactions on Pattern Analysis & Machine Intelligence, (2017). PP(99): p. 1-1. [Google Scholar]
- Liu, W., et al. SSD: Single Shot MultiBox Detector. in European Conference on Computer Vision. (2016). [Google Scholar]
- Sutskever, I., O. Vinyals, and Q.V. Le, Sequence to Sequence Learning with Neural Networks. (2014). 4: p. 3104-3112. [Google Scholar]
- Srivastava, N., et al., Dropout: a simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, (2014). 15(1): p. 1929-1958. [Google Scholar]
- Yao, Y., L. Rosasco, and A. Caponnetto, On Early Stopping in Gradient Descent Learning. Constructive Approximation, (2007). 26(2): p. 289-315. [Google Scholar]
- Gatys, L.A., A.S. Ecker, and M. Bethge, A Neural Algorithm of Artistic Style. Computer Science, (2015). [Google Scholar]
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