R-DiP: Re-ranking Based Diffusion Pre-computation for Image Retrieval

Author:

Kato Tatsuya,Komamizu TakahiroORCID,Ide IchiroORCID

Publisher

Springer Nature Switzerland

Reference32 articles.

1. Lecture Notes in Computer Science;A Babenko,2014

2. Dharani, T., Aroquiaraj, I.L.: Content based image retrieval system using feature classification with modified kNN algorithm (2013). https://arxiv.org/abs/1307.4717

3. Donoser, M., Bischof, H.: Diffusion processes for retrieval revisited. In: Proceedings 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, pp. 1320–1327. IEEE (2013)

4. Dosovitskiy, A., et al.: An image is worth $$16 \times 16$$ words: transformers for image recognition at scale. In: Proceedings of the 9th International Conference on Learning Representations, Online (2021)

5. Dubey, S.R., Singh, S.K., Chu, W.: Vision transformer hashing for image retrieval. In: Proceedings of the 2022 IEEE International Conference on Multimedia and Expo, Taipei, Taiwan. IEEE (2022)

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