https://github.com/Layjins/BoxSeg
공식 코드BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
This task aims to achieve instance segmentation with weakly bounding box annotations.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Box-supervised Instance Segmentation with Level Set Evolution
SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation
BoxSnake: Polygonal Instance Segmentation with Box Supervision
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
BoxInst: High-Performance Instance Segmentation with Box Annotations
BoxInst: High-Performance Instance Segmentation with Box Annotations
Box-supervised Instance Segmentation with Level Set Evolution
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.