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Found 4 papers, 2 papers with code
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
In machine learning, generative modeling aims to learn to generate new data statistically similar to the training data distribution.
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Second, inspired by hard parameter sharing in multi-task learning and a new interpretation of related work, we propose a new multimodal meta-learner that outperforms existing work by considerable margins.
Multi-focus Image Fusion for Visual Sensor Networks
Image fusion in visual sensor networks (VSNs) aims to combine information from multiple images of the same scene in order to transform a single image with more information.
Aircraft Fuselage Defect Detection using Deep Neural Networks
To ensure flight safety of aircraft structures, it is necessary to have regular maintenance using visual and nondestructive inspection (NDI) methods.
