The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Generation and Comprehension of Unambiguous Object Descriptions
Open accessAbstract
We propose a method that can generate an unambiguous description (known as a referring expression) of a specific object or region in an image, and which can also comprehend or interpret such an expression to infer which object is being described. We show that our method outperforms previous methods that generate descriptions of objects without taking into account other potentially ambiguous objects in the scene. Our model is inspired by recent successes of deep learning methods for image captioning, but while image captioning is difficult to evaluate, our task allows for easy objective evaluation. We also present a new large-scale dataset for referring expressions, based on MSCOCO. We have released the dataset and a toolbox for visualization and evaluation, see https://github.com/ mjhucla/Google_Refexp_toolbox.
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Cites
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Cited by
Multimodal Machine Learning: A Survey and Taxonomy
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Improved Baselines with Visual Instruction Tuning
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Improved Baselines with Visual Instruction Tuning
Liu, H., Li, C., Li, Y., & Lee, Y. J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52733.2024.02484 · Cited by 1,748
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Plummer, B. A., Wang, L., Cervantes, C. M., Caicedo, J. C., Hockenmaier, J., & Lazebnik, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.303 · Cited by 1,444
Metadata
- Authors
- Mao, J., Huang, J., Toshev, A., Camburu, O., Yuille, A., & Murphy, K.
- Venue
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2016-06
- Pages
- 11-20
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2963109634
- Cited by
- 1,174
- References
- 15
- FWCI
- 27.72
- Type
- conference paper
- Language
- en
- Open access
- green
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