Marine Animal Segmentation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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.

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (4 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.

• SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
  16 Aug 2024 1 repository listed Syntology ran 5 of 9 samples · 4 unverified
  Image segmentation plays an important role in vision understanding.
• MAS-SAM: Segment Any Marine Animal with Aggregated Features
  24 Apr 2024 1 repository listed Syntology ran 12 of 20 samples · 8 unverified · 20 pointer-only (licence)
  In underwater scenes, it exhibits substantial performance degradation due to the light scattering and absorption.
• Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
  7 Apr 2024 1 repository listed
  To this end, we first introduce a dual structure with SAM's paradigm to enhance feature learning of marine images.
• MASNet: A Robust Deep Marine Animal Segmentation Network
  1 May 2023 1 repository listed
  Specifically, we design a new data augmentation strategy to randomly change the degradation and camouflage attributes of the original objects.

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.