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Box-supervised Instance Segmentation

This task aims to achieve instance segmentation with weakly bounding box annotations.

Papers

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Showing 1–19 of 19 papers

TitleStatusHype
Box2Mask: Box-supervised Instance Segmentation via Level-set EvolutionCode2
Box-supervised Instance Segmentation with Level Set EvolutionCode2
Label-efficient Segmentation via Affinity PropagationCode1
BoxSnake: Polygonal Instance Segmentation with Box SupervisionCode1
SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance SegmentationCode1
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object DetectionCode1
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance SegmentationCode1
Affinity Attention Graph Neural Network for Weakly Supervised Semantic SegmentationCode1
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionCode1
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance SegmentationCode1
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance SegmentationCode0
Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes—0
Boosting Box-supervised Instance Segmentation with Pseudo Depth—0
P2Seg: Pointly-supervised Segmentation via Mutual Distillation—0
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation—0
Deep Level Set for Box-supervised Instance Segmentation in Aerial ImagesCode0
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient ImagesCode0
BoxInst: High-Performance Instance Segmentation with Box AnnotationsCode0
Weakly Supervised Instance Segmentation using the Bounding Box Tightness PriorCode0
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