AP: 11.7
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Few-Shot Object Detection
Few-Shot Object Detection is a computer vision task that involves detecting objects in images with limited training data. The goal is to train a model on a few examples of each object class and then use the model to detect objects in new images.
논문
AP: 8.1
AP: 9.3
AP: 30
AP: 13.4
AP: 30.2
AP: 22.9
AP: 26.5
AP: 12.7
AP: 33.8
AP: 35.9
AP: 34
Average Score: 38.9
Average Score: 54.7
Average Score: 43