Learning general features to bridge the cross-domain gaps in few-shot learning
X Li, H Luo, G Zhou, X Peng, Z Wang, J Zhang… - Knowledge-Based …, 2024 - Elsevier
Few-shot learning (FSL) methods have attracted great attention in recent years. However,
under the cross-domain few-shot learning (CDFSL) setting, where domain gaps exist …
under the cross-domain few-shot learning (CDFSL) setting, where domain gaps exist …
Prototype Comparison Convolutional Networks for One-Shot Segmentation
In few-shot semantic segmentation (FSS), the key challenges are efficiently tuning the
interaction between the support set and the query set and distinguishing between context …
interaction between the support set and the query set and distinguishing between context …
Meta-learning algorithms and applications
O Bohdal - 2024 - era.ed.ac.uk
Meta-learning in the broader context concerns how an agent learns about their own
learning, allowing them to improve their learning process. Learning how to learn is not only …
learning, allowing them to improve their learning process. Learning how to learn is not only …