Adaptive Offline Quintuplet Loss for Image-Text Matching

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2010

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Frome, A., Corrado, G.S., Shlens, J., Bengio, S., Dean, J., Mikolov, T., et al.: Devise: A deep visual-semantic embedding model. In: Advances in neural information processing systems. pp. 2121–2129 (2013)

2013

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Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)

Original

2013

Earlier work this paper cites.

Kiros, R., Salakhutdinov, R., Zemel, R.S.: Unifying visual-semantic embeddings with multimodal neural language models. arXiv preprint arXiv:1411.2539 (2014)

Original

2014

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Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: European conference on computer vision. pp. 740–755. Springer (2014)

2014

Earlier work this paper cites.

Young, P., Lai, A., Hodosh, M., Hockenmaier, J.: From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions. Transactions of the Association for Computational Linguistics 2

2014

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Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. In: Advances in neural information processing systems. pp. 91–99 (2015)

2015

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Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: A unified embedding for face recognition and clustering. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 815–823 (2015)

2015

Earlier work this paper cites.

Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhudinov, R., Zemel, R., Bengio, Y.: Show, attend and tell: Neural image caption generation with visual attention. In: International Conference on Machine Learning. pp. 2048–2057 (2015)

2015

Earlier work this paper cites.

He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 770–778 (2016)

2016

Earlier work this paper cites.

Kim, J.H., Lee, S.W., Kwak, D., Heo, M.O., Kim, J., Ha, J.W., Zhang, B.T.: Multimodal residual learning for visual qa. In: Advances in neural information processing systems. pp. 361–369 (2016)

2016

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Lu, J., Yang, J., Batra, D., Parikh, D.: Hierarchical question-image co-attention for visual question answering. In: Advances In Neural Information Processing Systems. pp. 289–297 (2016)

2016

Earlier work this paper cites.

Yang, Z., He, X., Gao, J., Deng, L., Smola, A.: Stacked attention networks for image question answering. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 21–29 (2016)

2016

Cited alongside, same era.

You, Q., Jin, H., Wang, Z., Fang, C., Luo, J.: Image captioning with semantic attention. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4651–4659 (2016)

2016

Cited alongside, same era.

Chen, W., Chen, X., Zhang, J., Huang, K.: Beyond triplet loss: a deep quadruplet network for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 403–412 (2017)

2017

Cited alongside, same era.

Eisenschtat, A., Wolf, L.: Linking image and text with 2-way nets. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4601–4611 (2017)

2017

Cited alongside, same era.

Anderson, P., He, X., Buehler, C., Teney, D., Johnson, M., Gould, S., Zhang, L.: Bottom-up and top-down attention for image captioning and visual question answering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 6077–6086 (2018)

2018

Later among the works it cites.

Chen, T., Zhang, Z., You, Q., Fang, C., Wang, Z., Jin, H., Luo, J.: “factual”or“emotional”: Stylized image captioning with adaptive learning and attention. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 519–535 (2018)

2018

Later among the works it cites.

Lee, K.H., Chen, X., Hua, G., Hu, H., He, X.: Stacked cross attention for image-text matching. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 201–216 (2018)

2018

Later among the works it cites.

You, Q., Zhang, Z., Luo, J.: End-to-end convolutional semantic embeddings. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5735–5744 (2018)

2018