Task-Adaptive Attention for Image Captioning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3067449
Abstract: Attention mechanisms are now widely used in image captioning models. However, most attention models only focus on visual features. When generating syntax related words, little visual information is needed. In this case, these attention models… read more here.
Keywords: attention; image captioning; task adaptive; adaptive attention ... See more keywords
Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3261387
Abstract: The objective of few-shot learning is to design a system that can adapt to a given task with only few examples while achieving generalization. Model-agnostic meta-learning (MAML), which has recently gained the popularity for its… read more here.
Keywords: adaptation; task adaptive; fast adaptation; task ... See more keywords