box AP: 7.56
Papers with Code · CC BY-SA 4.0
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
mAP: 58.4
mAP: 68.7
mAP: 60.5
mAP: 49.2
mAP: 71.2
mAP: 23.4
mAP: 15.9
Average Score: 50.7
Average Score: 66.3
Average Score: 57
mAP: 35.0