ssrp cross
Technology:
Technology:
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.93)
- Information Technology > Artificial Intelligence > Natural Language > Machine Translation (0.68)
Appendix 1 0.1 Data augmentation
Figure 1 shows some examples of augmented MSCOCO images and captions.We perform image-3 Figure 1 illustrates the visual-textual alignment mechanisms of the three variants of our proposed SSRP. NL VR2 is a challenging visual reasoning task. During testing, we adopt beam search with a beam size of 5. We apply the same training and testing settings for Up-Down (Our Impl.) and SSRP Figure 3: Illustrations of the two image retrieval methods mentioned in our paper. Figure 4: Examples of generated relationships for different augmented images. Figure 5: Example of generated relationships for different augmented sentences.
Technology:
Technology:
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.93)
- Information Technology > Artificial Intelligence > Natural Language > Machine Translation (0.68)