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We improve one-stage visual grounding by addressing current limitations on grounding long and complex queries.
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De Vries, H., Strub, F., Mary, J., Larochelle, H., Pietquin, O., Courville, A.C.: Modulating early visual processing by language. In: Advances in Neural Information Processing Systems. pp. 6594–6604 (2017)
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Zhang, H., Niu, Y., Chang, S.F.: Grounding referring expressions in images by variational context. In: CVPR (2018)
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Zhuang, B., Wu, Q., Shen, C., Reid, I., van den Hengel, A.: Parallel attention: A unified framework for visual object discovery through dialogs and queries. In: CVPR (2018)
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Hu, R., Rohrbach, M., Andreas, J., Darrell, T., Saenko, K.: Modeling relationships in referential expressions with compositional modular networks. In: CVPR (2017)
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Li, J., Wei, Y., Liang, X., Zhao, F., Li, J., Xu, T., Feng, J.: Deep attribute-preserving metric learning for natural language object retrieval. In: Proceedings of the 25th ACM international conference on Multimedia. pp. 181–189. ACM (2017)
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Li, S., Xiao, T., Li, H., Zhou, B., Yue, D., Wang, X.: Person search with natural language description. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1970–1979 (2017)
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Lin, Z., Feng, M., Santos, C.N.d., Yu, M., Xiang, B., Zhou, B., Bengio, Y.: A structured self-attentive sentence embedding. In: ICLR (2017)
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Bajaj, M., Wang, L., Sigal, L.: G3raphground: Graph-based language grounding. In: ICCV (2019)
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Wang, P., Wu, Q., Cao, J., Shen, C., Gao, L., Hengel, A.v.d.: Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks. In: CVPR (2019)
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Yang, S., Li, G., Yu, Y.: Cross-modal relationship inference for grounding referring expressions. In: CVPR (2019)
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Yang, S., Li, G., Yu, Y.: Dynamic graph attention for referring expression comprehension. In: ICCV (2019)
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Yang, Z., Gong, B., Wang, L., Huang, W., Yu, D., Luo, J.: A fast and accurate one-stage approach to visual grounding. In: ICCV (2019)
2019
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Liao, Y., Liu, S., Li, G., Wang, F., Chen, Y., Qian, C., Li, B.: A real-time cross-modality correlation filtering method for referring expression comprehension. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10880–10889 (2020)
2020
Closest in time.
Luo, G., Zhou, Y., Sun, X., Cao, L., Wu, C., Deng, C., Ji, R.: Multi-task collaborative network for joint referring expression comprehension and segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10034–10043 (2020)
2020
Closest in time.