CRD-CGAN: category-consistent and relativistic constraints for diverse text-to-image generation
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science,Theoretical Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11704-022-2385-x.pdf
Reference69 articles.
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2. Long C, Collins R, Swears E, Hoogs A. Deep neural networks in fully connected CRF for image labeling with social network metadata. In: Proceedings of 2019 IEEE Winter Conference on Applications of Computer Vision. 2019, 1607–1615
3. Long C, Hua G, Kapoor A. Active visual recognition with expertise estimation in crowdsourcing. In: Proceedings of 2013 IEEE International Conference on Computer Vision. 2013, 3000–3007
4. Hua G, Long C, Yang M, Gao Y. Collaborative active learning of a kernel machine ensemble for recognition. In: Proceedings of 2013 IEEE International Conference on Computer Vision. 2013, 1209–1216
5. Long C, Hua G. Multi-class multi-annotator active learning with robust gaussian process for visual recognition. In: Proceedings of 2015 IEEE International Conference on Computer Vision. 2015, 2839–2847
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