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Weakly-supervised instance segmentation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
BAISeg: Boundary Assisted Weakly Supervised Instance Segmentation
Boosting Box-supervised Instance Segmentation with Pseudo Depth
Complete Instances Mining for Weakly Supervised Instance Segmentation
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving
Quantification of cardiac capillarization in single-immunostained myocardial slices using weakly supervised instance segmentation
PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments
Synthetic Instance Segmentation from Semantic Image Segmentation Masks
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations
Weakly-Supervised Text Instance Segmentation
SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation
LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous Driving
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Weakly Supervised Instance Segmentation using Motion Information via Optical Flow
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
Pointly-Supervised Instance Segmentation
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Weakly Supervised Multi-Object Tracking and Segmentation
BoxInst: High-Performance Instance Segmentation with Box Annotations
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances
Weakly Supervised Instance Segmentation by Deep Community Learning
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
Weakly Supervised Instance Segmentation Using Hybrid Network
Weakly- and Semi-Supervised Panoptic Segmentation
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products
Weakly Supervised Instance Segmentation using Class Peak Response
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.