Personalized Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

6 shown of 6 papers with code (7 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.

• SegGPT: Segmenting Everything In Context
  6 Apr 2023 3 repositories listed Syntology ran 6 of 10 samples · 4 unverified
  We unify various segmentation tasks into a generalist in-context learning framework that accommodates different kinds of segmentation data by transforming them into the same format of images.
• Where's Waldo: Diffusion Features for Personalized Segmentation and Retrieval
  28 May 2024 1 repository listed Syntology ran 9 of 12 samples · 3 unverified · 12 pointer-only (licence)
  Personalized retrieval and segmentation aim to locate specific instances within a dataset based on an input image and a short description of the reference instance.
• Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation
  8 Mar 2024 1 repository listed
  Precision medicine, such as patient-adaptive treatments utilizing medical images, poses new challenges for image segmentation algorithms due to (1) the large variability across different patients and (2) the limited…
• Personalize Segment Anything Model with One Shot
  4 May 2023 1 repository listed
  Driven by large-data pre-training, Segment Anything Model (SAM) has been demonstrated as a powerful and promptable framework, revolutionizing the segmentation models.
• Images Speak in Images: A Generalist Painter for In-Context Visual Learning
  5 Dec 2022 1 repository listed
  In this work, we present Painter, a generalist model which addresses these obstacles with an "image"-centric solution, that is, to redefine the output of core vision tasks as images, and specify task prompts as also…
• Visual Prompting via Image Inpainting
  1 Sep 2022 1 repository listed
  How does one adapt a pre-trained visual model to novel downstream tasks without task-specific finetuning or any model modification?

Syntology lines on 2 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.