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Found 3 papers, 2 papers with code
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback
With such a massive growth in the number of images stored, efficient search in a database has become a crucial endeavor managed by image retrieval systems.
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
We also notably improve the results in the extreme cases of 1, 2 and 3 labels per class, and show that features learned by our model are more meaningful for separating the data.
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata
Estimation of photometric plant phenotypes (e. g., hue, shine, chroma) in field conditions is important for decisions on the expected yield quality, fruit ripeness, and need for further breeding.
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