แนวคิดหลัก
Object detectors tend to be biased towards seen objects, neglecting unseen targets. Proposed DRM approach significantly outperforms previous methods in Novel Class Discovery and Localization.
สถิติ
대부분의 연구는 폐쇄 집합 데이터셋에서 검출 성능을 개선하는 데 집중합니다.
DRM 접근 방식이 이전 방법보다 우수한 성능을 보임을 실험을 통해 입증했습니다.
DRM 접근 방식은 새로운 범주의 발견 및 지역화에서 이전 방법을 크게 능가했습니다.
คำพูด
"Object detectors tend to be biased towards seen objects, neglecting unseen targets."
"Proposed DRM approach significantly outperforms previous methods in Novel Class Discovery and Localization."