Counting new objects in image using only a few examples
Counting new objects in image using only a few examples
Learning To Count Everything
arXiv paper abstract https://arxiv.org/abs/2104.08391
arXiv PDF paper https://arxiv.org/pdf/2104.08391.pdf
GitHub https://github.com/cvlab-stonybrook/LearningToCountEverything
Existing works on visual counting primarily focus on one specific category at a time, such as people, animals, and cells.
… we … count objects from any category given only a few annotated instances
… present a novel method that takes a query image together with a few exemplar objects from the query image and predicts a density map for the presence of all objects
… present a novel adaptation strategy to adapt our network to any novel visual category at test time, using only a few exemplar objects
… images … annotated with … dots and bounding boxes
… method outperforms several state-of-the-art object detectors and few-shot counting approaches. …
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