Browse State-of-the-Art › Generalized Few-Shot Semantic Segmentation
Generalized Few-Shot Semantic Segmentation
9 papers with code · 4 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
4 leaderboard tables shown for this task, 4 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| PASCAL-5i (5-Shot) (6 rows) | VisualPromptGFSS | Visual Prompting for Generalized Few-shot Segmentation: A... | code | — | Compare |
| COCO-20i (1-shot) (6 rows) | VisualPromptGFSS | Visual Prompting for Generalized Few-shot Segmentation: A... | code | — | Compare |
| PASCAL-5i (1-Shot) (5 rows) | VisualPromptGFSS | Visual Prompting for Generalized Few-shot Segmentation: A... | code | — | Compare |
| COCO-20i (5-shot) (5 rows) | VisualPromptGFSS | Visual Prompting for Generalized Few-shot Segmentation: A... | code | — | Compare |
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
No dataset record in the archive lists this task.
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
9 shown of 9 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.
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25 Nov 2022 2 repositories listedIn addition, the terms derived from our MI-based formulation are coupled with a knowledge distillation term to retain the knowledge on base classes.
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20 Dec 2024 1 repository listedFurthermore, existing GFSS approaches suffer from a lack of contextual information for novel classes due to their limited samples, we thereby introduce a context consistency learning scheme to transfer the contextual…
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26 Sep 2024 1 repository listedThe goal of generalized few-shot semantic segmentation (GFSS) is to recognize novel-class objects through training with a few annotated examples and the base-class model that learned the knowledge about the base classes.
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17 Sep 2024 1 repository listedWhile previous datasets and benchmarks discussed the few-shot segmentation setting in remote sensing, we are the first to propose a generalized few-shot segmentation benchmark for remote sensing.
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27 Aug 2024 1 repository listedThis paper explores the capability of ViT-based models under the generalized few-shot semantic segmentation (GFSS) framework.
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17 Apr 2024 1 repository listedThese learned visual prompts are used to prompt a multiscale transformer decoder to facilitate accurate dense predictions.
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24 Mar 2023 1 repository listedCurrent methods for few-shot segmentation (FSSeg) have mainly focused on improving the performance of novel classes while neglecting the performance of base classes.
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1 Jan 2023 1 repository listedPOP builds a set of orthogonal prototypes, each of which represents a semantic class, and makes the prediction for each class separately based on the features projected onto its prototype.
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11 Oct 2020 1 repository listedThen, since context is essential for semantic segmentation, we propose the Context-Aware Prototype Learning (CAPL) that significantly improves performance by 1) leveraging the co-occurrence prior knowledge from support…
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