On a conceptual level, two types of artistic generalization correspond to the above two structural principles. The symbol corresponds to the metaphor, and the type, to metonymy; compare A. A. Potebnia’s characterization of metaphor and metonymy in his collectionAesthetics and Poetics(1976, pp....
This paper On Large-batch Training For Deep Learning: Generalization Gap And Sharp Minima can be referred to understand why smaller batch sizes help in avoiding sharp minima and overgeneralization. We concluded our batch_size to be 30/32 (batch size of power of 2 are preferred) No. of ...
aThe generalization of this MOU not reflected the full details of all product and solution, particularly the manufacturing processes 没被反射所有产品和解答,特殊制造过程全面详细的这MOU的概念化[translate] aForestry Bureau 林业局[translate] a下次早点起床,否则你又要迟到 Next time earlier will get out ...
Controllable re-lighting for indoor scenes is the subject in the works of Meka et al. [159] and Öchsle et al. [160]. Wang et al. [89] show promising results towards generalization and the applicability for various datasets. Another direction is the incorporation of the plenoptic function...
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image [New]We further annotated an open available challenging cases dataset to evaluate the robustness and generalization of deep learning methods. Please check this repoRAOS. ...
Learned from such a large and diverse dataset and annotations, SAM gains better generalization, which is crucial for ensuring the model performance for different and even previously unseen tasks. More recently, MedSAM19 has been proposed for medical images, however, neither SAM nor MedSAM considers...
Thangka image captioning aims to automatically generate accurate and complete sentences that describe the main content of Thangka images. However, existing methods fall short in capturing the features of the core deity regions and the surrounding backgro
Data augmentation-basedmethods are straightforward for enriching samples and are a common technique inDL. Data augmentation-based methods enhance model generalization and mitigate overfitting risks by augmenting training samples through transformations, simulations, or generative models. The key challenge lies ...
Generalization in visual recognition by the honeybee (Apis mellifera): a review and explanation. During a century of studies on honeybee vision, generalization was the word for the acceptance of an unfamiliar pattern in the place of the training patter... A Horridge - 《Journal of Insect Physiol...
At present, most English corpora are small in size and unevenly distributed in fields, which limits the generalization ability of the model in specific scenarios. Secondly, the quality of annotations varies, especially in the fine-grained alignment of images and texts, some data may contain errors...