Training-Free Region Prediction with Stable Diffusion

Author:

Honbu YumaORCID,Yanai KeijiORCID

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Bucher, M., Vu, T., Cord, M., Pérez, P.: Zero-shot semantic segmentation. In: Proceedings of CVF/IEEE Computer Vision and Pattern Recognition (2019)

2. Burgert, R., Ranasinghe, K., Li, X., Ryoo, M.S.: Peekaboo: text to image diffusion models are zero-shot segmentors. In: Proceedings of arXiv:2211.13224 (2022)

3. Chen, L., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Deeplab: smantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4), 834–848 (2018)

4. Lecture Notes in Computer Science;L-C Chen,2018

5. Everingham, M., Eslami, S.M.A., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes challenge: a retrospective. Int. J. Comput. Vision 111(1), 98–136 (2015)

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