http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
준지도 비디오 객체 분할 기술을 위한 데이터 증강 기법
김호진(Hojin Kim),김동현(Dongheyon Kim),김정훈(Jeonghoon Kim),임성훈(Sunghoon Im) 한국방송·미디어공학회 2022 방송공학회논문지 Vol.27 No.1
Video Object Segmentation (VOS) task requires an amount of labeled sequence data, which limits the performance of the current VOS methods trained with public datasets. In this paper, we propose two effective data augmentation schemes for VOS. The first augmentation method is to swap the background segment to the background from another image, and the other method is to play the sequence in reverse. The two augmentation schemes for VOS enable the current VOS methods to robustly predict the segmentation labels and improve the performance of VOS.