This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand +4 more
wiley +1 more source
Enhancing buckwheat maturity classification with generative adversarial networks for spectroscopy data augmentation. [PDF]
Wang H +7 more
europepmc +1 more source
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao +10 more
wiley +1 more source
Defending against and generating adversarial examples together with generative adversarial networks. [PDF]
Wang Y, Liao X, Cui W, Yang Y.
europepmc +1 more source
Task-guided generative adversarial networks for synthesizing and augmenting structural connectivity matrices for connectivity-based prediction. [PDF]
Yamamoto T +3 more
europepmc +1 more source
Gated attention based generative adversarial networks for imbalanced credit card fraud detection. [PDF]
Ge J, Yin L, Zhang S, Zhao X.
europepmc +1 more source
Applications of generative adversarial networks in the diagnosis, prognosis, and treatment of ophthalmic diseases. [PDF]
Doorly R +6 more
europepmc +1 more source
Fusing residual dense and attention in generative adversarial networks for super-resolution of medical images. [PDF]
Zhang Q, Min B, Hang Y, Chen H, Qiu J.
europepmc +1 more source
Generative Adversarial Networks With Radiomics Supervision for Lung Lesion Generation. [PDF]
Li J +5 more
europepmc +1 more source

