Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-019-1177-8
Abstract: Fine-grained image classification, which aims to distinguish images with subtle distinctions, is a challenging task for two main reasons: lack of sufficient training data for every class and difficulty in learning discriminative features for representation.… read more here.
Keywords: classification; fine grained; zero shot; shot fine ... See more keywords
A Multi-view Metric Learning Method for Few-shot Fine-grained Classification
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DOI: 10.1109/access.2022.3175798
Abstract: Few-shot fine-grained image classification aims to solve the learning problem with few limited labeled examples. The existing methods use data augmentation to randomly transform the original examples to get new examples, and then use the… read more here.
Keywords: view; shot fine; view metric; classification ... See more keywords
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3167112
Abstract: One-shot fine-grained visual recognition often suffers from the problem of training data scarcity for new fine-grained classes. To alleviate this problem, off-the-shelf image generation techniques based on Generative Adversarial Networks (GANs) can potentially create additional… read more here.
Keywords: shot fine; generated images; one shot; fine grained ... See more keywords