WebFeb 1, 2024 · Cross-domain few-shot learning (CD-FSL) has drawn increasing attention for handling large differences between the source and target domains--an important concern in real-world scenarios. To overcome these large differences, recent works have considered exploiting small-scale unlabeled data from the target domain during the pre-training … WebAug 2, 2024 · Is few-shot relation classification solved? We show that this is far from being the case. We argue that the evaluation protocol in FewRel 1.0 is based on highly unrealistic assumptions on how the models will be used in practice, and while FewRel 2.0 tried to amend it, its evaluation setup remains highly unrealistic (§3.1).Therefore, we propose a …
Few-Shot Regression via Learned Basis Functions OpenReview
Webmultiple few-shot learning algorithms obscures the relative performance gain. The performance of 1. Published as a conference paper at ICLR 2024 baseline approaches … WebMay 22, 2024 · Few-shot meta-learning has been recently reviving with expectations to mimic humanity's fast adaption to new concepts based on prior knowledge. In this short communication, we give a concise review on recent representative methods in few-shot meta-learning, which are categorized into four branches according to their technical … 鬼電話アプリ
A Comparative Review of Recent Few-Shot Object Detection …
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