The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
ReferItGame: Referring to Objects in Photographs of Natural Scenes
Open accessAbstract
In this paper we introduce a new game to crowd-source natural language referring expressions.By designing a two player game, we can both collect and verify referring expressions directly within the game.To date, the game has produced a dataset containing 130,525 expressions, referring to 96,654 distinct objects, in 19,894 photographs of natural scenes.This dataset is larger and more varied than previous REG datasets and allows us to study referring expressions in real-world scenes.We provide an in depth analysis of the resulting dataset.Based on our findings, we design a new optimization based model for generating referring expressions and perform experimental evaluations on 3 test sets.
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Cites
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Every Picture Tells a Story: Generating Sentences from Images
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Cited by
VQA: Visual Question Answering
Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C. L., & Parikh, D. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.279 · Cited by 4,487
Transformers in Vision: A Survey
Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., & Shah, M. (2022) · ACM Computing Surveys · doi:10.1145/3505244 · Cited by 3,595
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Lu, J., Batra, D., Parikh, D., & Lee, S. (2019) · arXiv · doi:10.48550/arxiv.1908.02265 · Cited by 2,109
UNITER: UNiversal Image-TExt Representation Learning
Chen, Y.-C., Li, L., Yu, L., El Kholy, A., Ahmed, F., Gan, Z., Cheng, Y., & Liu, J. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-58577-8_7 · Cited by 2,055
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.215 · Cited by 1,781
Metadata
- Authors
- Kazemzadeh, S., Ordonez, V., Matten, M., & Berg, T.
- Venue
- Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Published
- 2014
- Pages
- 787-798
- OpenAlex
- W2251512949
- Cited by
- 1,048
- References
- 40
- FWCI
- 18.02
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Kazemzadeh, S., Ordonez, V., Matten, M., & Berg, T. (2014). ReferItGame: Referring to Objects in Photographs of Natural Scenes. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). https://doi.org/10.3115/v1/d14-1086
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