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The generation and enhancement of satellite imagery are critical in remote sensing, requiring high-quality, detailed images for accurate analysis.
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248–255 (2009). Ieee
2009
Earlier work this paper cites.
Sermanet, P., Chintala, S., LeCun, Y.: Convolutional neural networks applied to house numbers digit classification. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp. 3288–3291 (2012). IEEE
2012
Earlier work this paper cites.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. Advances in neural information processing systems 27
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., Ganguli, S.: Deep unsupervised learning using nonequilibrium thermodynamics. In: International Conference on Machine Learning, pp. 2256–2265 (2015). PMLR
2015
Earlier work this paper cites.
Reed, S.E., Akata, Z., Mohan, S., Tenka, S., Schiele, B., Lee, H.: Learning what and where to draw. Advances in neural information processing systems 29
2016
Earlier work this paper cites.
Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., Chen, X.: Improved techniques for training gans. Advances in neural information processing systems 29
2016
Earlier work this paper cites.
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818–2826 (2016)
2016
Earlier work this paper cites.
Ghamisi, P., Plaza, J., Chen, Y., Li, J., Plaza, A.J.: Advanced spectral classifiers for hyperspectral images: A review. IEEE Geoscience and Remote Sensing Magazine 5
2017
Earlier work this paper cites.
Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., Metaxas, D.N.: Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 5907–5915 (2017)
2017
Earlier work this paper cites.
Raffel, C., Luong, M.-T., Liu, P.J., Weiss, R.J., Eck, D.: Online and linear-time attention by enforcing monotonic alignments. In: International Conference on Machine Learning, pp. 2837–2846 (2017). PMLR
2017
Earlier work this paper cites.
Lu, X., Wang, B., Zheng, X., Li, X.: Exploring models and data for remote sensing image caption generation. IEEE Transactions on Geoscience and Remote Sensing 56
2017
Earlier work this paper cites.
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30
2017
Earlier work this paper cites.
Li, Y., Zhang, H., Liang, X., Huang, B.: Event-triggered-based distributed cooperative energy management for multienergy systems. IEEE Transactions on Industrial Informatics 15
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
Barratt, S., Sharma, R.: A note on the inception score. arXiv preprint arXiv:1801.01973 (2018)
2018
Earlier work this paper cites.
Shazeer, N., Stern, M.: Adafactor: Adaptive learning rates with sublinear memory cost. In: International Conference on Machine Learning, pp. 4596–4604 (2018). PMLR
2018
Cited alongside, same era.
Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., He, X.: Attngan: Fine-grained text to image generation with attentional generative adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1316–1324 (2018)
2018
Cited alongside, same era.
Bejiga, M.B., Melgani, F., Vascotto, A.: Retro-remote sensing: Generating images from ancient texts. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12
2019
Cited alongside, same era.
Song, Y., Ermon, S.: Generative modeling by estimating gradients of the data distribution. Advances in neural information processing systems 32
2019
Cited alongside, same era.
2021
Later among the works it cites.
Xu, Y., Ghamisi, P.: Universal adversarial examples in remote sensing: Methodology and benchmark. IEEE Transactions on Geoscience and Remote Sensing 60
2022
Later among the works it cites.
Zhang, L., Zhang, L.: Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities. IEEE Geoscience and Remote Sensing Magazine 10
2022
Later among the works it cites.
Ho, J., Saharia, C., Chan, W., Fleet, D.J., Norouzi, M., Salimans, T.: Cascaded diffusion models for high fidelity image generation. The Journal of Machine Learning Research 23
2022
Later among the works it cites.
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Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advances in neural information processing systems 33
2020
Cited alongside, same era.
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al
2020
Cited alongside, same era.
Cui, Y., Wu, D., Huang, J.: Optimize tsk fuzzy systems for classification problems: Minibatch gradient descent with uniform regularization and batch normalization. IEEE Transactions on Fuzzy Systems 28
2020
Cited alongside, same era.
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., Liu, P.J.: Exploring the limits of transfer learning with a unified text-to-text transformer. The Journal of Machine Learning Research 21
2020
Cited alongside, same era.
2020
Cited alongside, same era.
Chen, C., Ma, H., Yao, G., Lv, N., Yang, H., Li, C., Wan, S.: Remote sensing image augmentation based on text description for waterside change detection. Remote Sensing 13
2021
Cited alongside, same era.
Zhao, R., Shi, Z.: Text-to-remote-sensing-image generation with structured generative adversarial networks. IEEE Geoscience and Remote Sensing Letters 19
2021
Cited alongside, same era.
Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M., Sutskever, I.: Zero-shot text-to-image generation. In: International Conference on Machine Learning, pp. 8821–8831 (2021). PMLR
2021
Cited alongside, same era.
2022
Later among the works it cites.
Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E.L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al
2022
Later among the works it cites.
Saharia, C., Chan, W., Chang, H., Lee, C., Ho, J., Salimans, T., Fleet, D., Norouzi, M.: Palette: Image-to-image diffusion models. In: ACM SIGGRAPH 2022 Conference Proceedings, pp. 1–10 (2022)
2022
Later among the works it cites.
Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D.J., Norouzi, M.: Image super-resolution via iterative refinement. IEEE Transactions on Pattern Analysis and Machine Intelligence 45
2022
Later among the works it cites.
Whang, J., Delbracio, M., Talebi, H., Saharia, C., Dimakis, A.G., Milanfar, P.: Deblurring via stochastic refinement. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 16293–16303 (2022)
2022
Later among the works it cites.
Ho, J., Salimans, T.: Classifier-free diffusion guidance. arXiv preprint arXiv:2207.12598 (2022)
2022
Later among the works it cites.
2022
Later among the works it cites.
Tao, M., Tang, H., Wu, F., Jing, X.-Y., Bao, B.-K., Xu, C.: Df-gan: A simple and effective baseline for text-to-image synthesis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 16515–16525 (2022)
2022
Later among the works it cites.
Yang, L., Li, X., Sun, M., Sun, C.: Hybrid policy-based reinforcement learning of adaptive energy management for the energy transmission-constrained island group. IEEE Transactions on Industrial Informatics 19
2023
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Chen, Z., Yang, J., Feng, Z., Zhu, H.: Railfod23: A dataset for foreign object detection on railroad transmission lines. Scientific Data 11
2024
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Zhang, N., Yan, J., Hu, C., Sun, Q., Yang, L., Gao, D.W., Guerrero, J.M., Li, Y.: Price-matching-based regional energy market with hierarchical reinforcement learning algorithm. IEEE Transactions on Industrial Informatics, 1–12 (2024) https://doi.org/10.1109/TII.2024.3390595
2024
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