In our experiments, we consider the tasks of multi-class classification, multi-label classification, and zero-shot learning. We show that our GDVM performs favorably against the baselines or recent generative DNN models. 展开 关键词: Computer Science - Machine Learning ...
Few-shot learning and modeling of 3D reservoir properties for predicting oil reservoir production Article 08 May 2024 Slope displacement prediction based on multisource domain transfer learning for insufficient sample data Article 18 March 2023 Comprehensive Earth System Analysis for Advancing Community...
Enhanced through the strategic use of pseudo labels, this update not only refines the model’s accuracy but also shifts the dice score distribution upwards, reducing instances of lower performance. This enhancement significantly improves its few-shot and zero-shot learning capabilities,...
Multi-cue zero-shot learning with strong supervision. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016. 59--68. Google Scholar [33] Romera-Paredes B, Torr P. An embarrassingly simple approach to zero-shot learning. In: Proceedings of International Conference...
Moreover, the consideration of multi-class classification conditions warrants attention. Additionally, the use of a frozen backbone for image feature extraction, though effective, encourages further exploration into contin- ual learning methods that facilitate viable ...
Toward a better image synthesis GAN framework for high-fidelity few-shot datasets via NAS and contrastive learningElsevier KBS 2023[Paper] [Official Code] Multi-Task Objectives Click to expand/collapse 25 works Image Augmentations for GAN TrainingarXiv 2020[Paper] Regularizing generative adversarial...
Diverse and tailored image generation for zero-shot multi-label classification mitigating catastrophic forgetting resulting from fine-tuning the entire visual encoder, we propose a feature fusion module inspired by transformer attention ... K Zhang,Z Yuan,T Huang - Knowledge-based systems 被引量: 0...
Kallo is a multi-LLM GenAI tool, where users can not only try different models but they can do so with their friends within the same chat. Outside of the collaborative nature of Kallo, we have an API that others can build atop. If you want to try out different AI models, with a ...
”. Fordetection, the task was to predict the bounding box of every object of class X in the image. And forsegmentationthe task was to label each pixel with one of the known class labels, or background. For the last two, textual responses are not the most natural way to answer the ...
Therefore, although without unseen class labels, we can exploit the above self-supervised signal as the learning guidance. Meanwhile, the target multi-label derived from anchors can be integrated into the generative network to help preserve the domain label c...