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Found 2 papers, 2 papers with code
One-Shot Object Detection without Fine-Tuning
Deep learning has revolutionized object detection thanks to large-scale datasets, but their object categories are still arguably very limited.
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
In this paper, we are interested in few-shot object segmentation where the number of annotated training examples are limited to 5 only.
Ranked #20 on
Few-Shot Semantic Segmentation
on FSS-1000 (5-shot)
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