One-Shot Instance Segmentation
2 papers with code • 1 benchmarks • 2 datasets
( Image credit: Siamese Mask R-CNN )
Benchmarks
These leaderboards are used to track progress in One-Shot Instance Segmentation
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MS COCO
UMD-i Affrodance Dataset
Latest papers
One-Shot Transfer of Affordance Regions? AffCorrs!
In this work, we tackle one-shot visual search of object parts.
One-Shot Instance Segmentation
bethgelab/siamese-mask-rcnn
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We demonstrate empirical results on MS Coco highlighting challenges of the one-shot setting: while transferring knowledge about instance segmentation to novel object categories works very well, targeting the detection network towards the reference category appears to be more difficult.
