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Found 4 papers, 1 papers with code
Re-ranking for image retrieval and transductive few-shot classification
In the problems of image retrieval and few-shot classification, the mainstream approaches focus on learning a better feature representation.
Impact of base dataset design on few-shot image classification
In this paper, we systematically study the effect of variations in the training data by evaluating deep features trained on different image sets in a few-shot classification setting.
Unsupervised Image Decomposition in Vector Layers
Deep image generation is becoming a tool to enhance artists and designers creativity potential.
DeSIGN: Design Inspiration from Generative Networks
Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant?
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