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Box-supervised Instance Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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This task aims to achieve instance segmentation with weakly bounding box annotations.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes
Boosting Box-supervised Instance Segmentation with Pseudo Depth
P2Seg: Pointly-supervised Segmentation via Mutual Distillation
Label-efficient Segmentation via Affinity Propagation
BoxSnake: Polygonal Instance Segmentation with Box Supervision
SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Box-supervised Instance Segmentation with Level Set Evolution
Deep Level Set for Box-supervised Instance Segmentation in Aerial Images
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
BoxInst: High-Performance Instance Segmentation with Box Annotations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.