Few-Shot Object Detection With Self-Supervising and Cooperative Classifier.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3204597
Abstract: Few-shot object detection (FSOD), which detects novel objects with only a few training instances, has recently attracted more attention. Previous works focus on making the most use of label information of objects. Still, they fail… read more here.
Keywords: shot object; novel classes; object detection; self ... See more keywords