Weakly-supervised instance segmentation

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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.

Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (39 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.

• 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.
• Pointly-Supervised Instance Segmentation
  13 Apr 2021 3 repositories listed
  Our experiments show that the new module is more suitable for the point-based supervision.
• Synthetic Instance Segmentation from Semantic Image Segmentation Masks
  2 Aug 2023 2 repositories listed
  SISeg achieves instance segmentation results by leveraging image masks generated by existing semantic segmentation models, and it is highly efficient as we do not require additional training for semantic segmentation or…
• 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.
• Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
  22 Jun 2024 1 repository listed
  Generating reliable pseudo masks from image-level labels is challenging in the weakly supervised semantic segmentation (WSSS) task due to the lack of spatial information.
• Complete Instances Mining for Weakly Supervised Instance Segmentation
  12 Feb 2024 1 repository listed Syntology ran 8 of 9 samples · 1 unverified
  To address this problem, we propose a novel approach for WSIS that focuses on the online refinement of complete instances through the use of MaskIoU heads to predict the integrity scores of proposals and a Complete…
• MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving
  12 Dec 2023 1 repository listed
  Instance segmentation is a fundamental research in computer vision, especially in autonomous driving.
• PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments
  16 Nov 2023 1 repository listed
  To address this issue, we propose a novel yet effective weakly-supervised surgical instrument instance segmentation approach, named Point-based Weakly-supervised Instance Segmentation (PWISeg).
• 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.
• Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision
  1 Jan 2023 1 repository listed
  To our knowledge, this is the first work on weakly-supervised continual learning for instance segmentation of images.
• EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation
  15 Dec 2022 1 repository listed
  Finally, the third component creates a large-scale pseudo-labeled instance segmentation training dataset by compositing the foreground object masks onto the original and generated background images.
• LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous Driving
  7 Dec 2022 1 repository listed
  In this paper, we present a more artful framework, LiDAR-guided Weakly Supervised Instance Segmentation (LWSIS), which leverages the off-the-shelf 3D data, i.
• 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.
• Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
  3 Oct 2021 1 repository listed
  Two variants of smooth maximum approximation, i.
• Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
  20 Sep 2021 1 repository listed
  This semantic drift occurs confusion between background and instance in training and consequently degrades the segmentation performance.
• 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.
• Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
  10 Sep 2020 1 repository listed
  For each proposal, this MIL framework can simultaneously compute probability distributions and category-aware semantic features, with which we can formulate a large undirected graph.
• 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.
• Weakly- and Semi-Supervised Panoptic Segmentation
  10 Aug 2018 1 repository listed
  We present a weakly supervised model that jointly performs both semantic- and instance-segmentation -- a particularly relevant problem given the substantial cost of obtaining pixel-perfect annotation for these tasks.
• Weakly Supervised Instance Segmentation using Class Peak Response
  3 Apr 2018 1 repository listed
  Motivated by this, we first design a process to stimulate peaks to emerge from a class response map.

Syntology lines on 1 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.