Papers with Code 아카이브
Unsupervised Saliency Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 3
- 보존된 평가 기록
- 9
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Unsupervised Object Localization: Observing the Background to Discover Objects
MOVE: Unsupervised Movable Object Segmentation and Detection
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut
Unsupervised Salient Object Detection with Spectral Cluster Voting
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective
Weakly Supervised Salient Object Detection Using Image Labels
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.