Box-supervised Instance Segmentation

12 papers with code • 2 benchmarks • 1 datasets

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

Datasets


Most implemented papers

BoxSnake: Polygonal Instance Segmentation with Box Supervision

yangr116/boxsnake ICCV 2023

Box-supervised instance segmentation has gained much attention as it requires only simple box annotations instead of costly mask or polygon annotations.

Label-efficient Segmentation via Affinity Propagation

circleradon/apro NeurIPS 2023

In this work, we formulate the affinity modeling as an affinity propagation process, and propose a local and a global pairwise affinity terms to generate accurate soft pseudo labels.