Corpus ID: 551912

Visalogy: Answering Visual Analogy Questions

@inproceedings{Sadeghi2015VisalogyAV,
  title={Visalogy: Answering Visual Analogy Questions},
  author={Fereshteh Sadeghi and C. L. Zitnick and Ali Farhadi},
  booktitle={NIPS},
  year={2015}
}
In this paper, we study the problem of answering visual analogy questions. These questions take the form of image A is to image B as image C is to what. Answering these questions entails discovering the mapping from image A to image B and then extending the mapping to image C and searching for the image D such that the relation from A to B holds for C to D. We pose this problem as learning an embedding that encourages pairs of analogous images with similar transformations to be close together… Expand
Detecting Unseen Visual Relations Using Analogies
Learning to detect visual relations
Quartet-net Learning for Visual Instance Retrieval
Neural Scene De-rendering
Contextual Visual Similarity
Computer Vision and Natural Language Processing
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References

SHOWING 1-10 OF 31 REFERENCES
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images
Visual Madlibs: Fill in the Blank Description Generation and Question Answering
VQA: Visual Question Answering
VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases
Relative attributes
Corpus-based Learning of Analogies and Semantic Relations
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