Methods › Computer Vision › Image Segmentation Models › SAM

Segment Anything Model

SAM

905 papers tagged archive 2025-07-28

Introduced by Alexander Kirillov et al. in Segment Anything

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 905, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 438 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Semantic Segmentation452
Segmentation419
Image Segmentation273
Medical Image Segmentation145
Decoder75
Instance Segmentation69
Object63
Object Detection58
object-detection58
Zero Shot Segmentation53
Video Semantic Segmentation46
Interactive Segmentation39
Video Segmentation35
Zero-shot Generalization35
model28
Video Object Segmentation23
Medical Image Analysis22
Scene Understanding22
Zero-Shot Learning22
parameter-efficient fine-tuning20

Usage over time archive 2025-07-28

Papers per year tagged with SAM: 2023 to 2025, peak 445 445 0 2023: 270 papers 2023 2024: 445 papers 2024 2025: 190 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (905 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Image Segmentation Models

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