Box-supervised Instance Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (19 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
  13 Oct 2022 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Oriented object detection emerges in many applications from aerial images to autonomous driving, while many existing detection benchmarks are annotated with horizontal bounding box only which is also less costive than…
• DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
  13 May 2021 3 repositories listed
  We introduce DiscoBox, a novel framework that jointly learns instance segmentation and semantic correspondence using bounding box supervision.
• Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
  3 Dec 2022 2 repositories listed
  In contrast to fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of simple box annotations, which has recently attracted increasing research attention.
• Box-supervised Instance Segmentation with Level Set Evolution
  19 Jul 2022 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  A simple mask supervised SOLOv2 model is adapted to predict the instance-aware mask map as the level set for each instance.
• BoxInst: High-Performance Instance Segmentation with Box Annotations
  3 Dec 2020 2 repositories listed
  We present a high-performance method that can achieve mask-level instance segmentation with only bounding-box annotations for training.
• BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
  7 Apr 2025 1 repository listed
  Box-supervised instance segmentation methods aim to achieve instance segmentation with only box annotations.
• Label-efficient Segmentation via Affinity Propagation
  16 Oct 2023 1 repository listed
  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.
• BoxSnake: Polygonal Instance Segmentation with Box Supervision
  21 Mar 2023 1 repository listed Syntology ran 5 of 6 samples · 1 unverified
  Box-supervised instance segmentation has gained much attention as it requires only simple box annotations instead of costly mask or polygon annotations.
• SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation
  14 Mar 2023 1 repository listed
  Weakly supervised instance segmentation using only bounding box annotations has recently attracted much research attention.
• BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
  11 Oct 2022 1 repository listed
  Most existing methods for weakly supervised instance segmentation focus on designing heuristic losses with priors from bounding boxes.
• Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
  8 Jun 2021 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  More importantly, our approach can be readily applied to bounding box supervised instance segmentation task or other weakly supervised semantic segmentation tasks, with state-of-the-art or comparable performance among…
• BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
  16 Mar 2021 1 repository listed
  Weakly supervised segmentation methods using bounding box annotations focus on obtaining a pixel-level mask from each box containing an object.
• Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior
  1 Dec 2019 1 repository listed
  This paper presents a weakly supervised instance segmentation method that consumes training data with tight bounding box annotations.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.