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Found 3 papers, 1 papers with code
Cos R-CNN for Online Few-shot Object Detection
We propose Cos R-CNN, a simple exemplar-based R-CNN formulation that is designed for online few-shot object detection.
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
Despite the success of deep learning methods for semantic segmentation, few-shot semantic segmentation remains a challenging task due to the limited training data and the generalisation requirement for unseen classes.
Interpolating Convolutional Neural Networks Using Batch Normalization
Perceiving a visual concept as a mixture of learned ones is natural for humans, aiding them to grasp new concepts and strengthening old ones.
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