Unseen Object 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

2 datasets 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

8 shown of 8 papers with code (13 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.

• Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
  16 Sep 2018 4 repositories listed
  We train a variant of Mask R-CNN with domain randomization on the generated dataset to perform category-agnostic instance segmentation without any hand-labeled data and we evaluate the trained network, which we refer to…
• High-Quality Unknown Object Instance Segmentation via Quadruple Boundary Error Refinement
  28 Jun 2023 1 repository listed
  Accurate and efficient segmentation of unknown objects in unstructured environments is essential for robotic manipulation.
• Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
  7 Feb 2023 1 repository listed
  By applying multi-object tracking and video object segmentation on the images collected via robot pushing, our system can generate segmentation masks of all the objects in these images in a self-supervised way.
• Mean Shift Mask Transformer for Unseen Object Instance Segmentation
  21 Nov 2022 1 repository listed
  To illustrate the effectiveness of our method, we apply MSMFormer to unseen object instance segmentation.
• Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling
  23 Sep 2021 1 repository listed
  Instance-aware segmentation of unseen objects is essential for a robotic system in an unstructured environment.
• Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
  30 Jul 2020 1 repository listed
  In this work, we propose a new method for unseen object instance segmentation by learning RGB-D feature embeddings from synthetic data.
• Unseen Object Instance Segmentation for Robotic Environments
  16 Jul 2020 1 repository listed
  We also show that our method can segment unseen objects for robot grasping.
• Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data
  10 Feb 2020 1 repository listed
  Segmentation of unseen industrial parts is essential for autonomous industrial systems.