Browsing by Keywords "Zero-shot learning"
Now showing items 1-3 of 3
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Fine-grained object recognition and zero-shot learning in multispectral imagery
(IEEE, 2018)We present a method for fine-grained object recognition problem, that aims to recognize the type of an object among a large number of sub-categories, and zero-shot learning scenario on multispectral images. In order to ... -
Learning efficient visual embedding models under data constraints
(Bilkent University, 2019-09)Deep learning models require large-scale datasets to learn rich sets of low and mid-level patterns and high-level semantics. Therefore, given a high-capacity neural network, one way to improve the performance of a model ... -
Matrix-regularized one-class multiple kernel learning for unseen face presentation attack detection
(IEEE, 2021-09-10)The functionality of face biometric systems is severely challenged by presentation attacks (PA’s), and especially those attacks that have not been available during the training phase of a PA detection (PAD) subsystem. Among ...
