Few-Shot Semantic Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

13 leaderboard tables shown for this task, 13 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. 10 shown of 13 until expanded.

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

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 102 papers with code (168 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.

• PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
  18 Aug 2019 5 repositories listed
  In this paper, we tackle the challenging few-shot segmentation problem from a metric learning perspective and present PANet, a novel prototype alignment network to better utilize the information of the support set.
• Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
  20 Jul 2020 4 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Few-shot semantic segmentation (FSS) has great potential for medical imaging applications.
• 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.
• Prior Guided Feature Enrichment Network for Few-Shot Segmentation
  4 Aug 2020 3 repositories listed
  It consists of novel designs of (1) a training-free prior mask generation method that not only retains generalization power but also improves model performance and (2) Feature Enrichment Module (FEM) that overcomes…
• A Strong Baseline for Generalized Few-Shot Semantic Segmentation
  25 Nov 2022 2 repositories listed
  In addition, the terms derived from our MI-based formulation are coupled with a knowledge distillation term to retain the knowledge on base classes.
• Feature-Proxy Transformer for Few-Shot Segmentation
  13 Oct 2022 2 repositories listed
  With a rethink of recent advances, we find that the current FSS framework has deviated far from the supervised segmentation framework: Given the deep features, FSS methods typically use an intricate decoder to perform…
• Cost Aggregation Is All You Need for Few-Shot Segmentation
  22 Dec 2021 2 repositories listed
  We introduce a novel cost aggregation network, dubbed Volumetric Aggregation with Transformers (VAT), to tackle the few-shot segmentation task by using both convolutions and transformers to efficiently handle high…
• Few-Shot Segmentation via Cycle-Consistent Transformer
  4 Jun 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Directly performing cross-attention may aggregate these features from support to query and bias the query features.
• Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
  5 Apr 2021 2 repositories listed
  By integrating the SGC and GPA together, we propose the Adaptive Superpixel-guided Network (ASGNet), which is a lightweight model and adapts to object scale and shape variation.
• Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
  11 Dec 2020 2 repositories listed
  We show that the way inference is performed in few-shot segmentation tasks has a substantial effect on performances -- an aspect often overlooked in the literature in favor of the meta-learning paradigm.
• Part-aware Prototype Network for Few-shot Semantic Segmentation
  13 Jul 2020 2 repositories listed
  In this paper, we propose a novel few-shot semantic segmentation framework based on the prototype representation.
• FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images
  1 Apr 2025 1 repository listed
  To address this, we propose FSSUWNet, a tailored FSS framework for underwater images with feature enhancement.
• Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
  3 Feb 2025 1 repository listed
  We propose a novel efficient FDS method based on feature matching.
• Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
  17 Jan 2025 1 repository listed
  This method's fast training times and effective generalization to real data make it a valuable tool for autonomous systems interacting with machinery and infrastructure, and illustrate the potential of combined and…
• AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
  23 Dec 2024 1 repository listed
  Therefore, in this paper, we utilize the more challenging image-level annotations and propose an adaptive frequency-aware network (AFANet) for weakly-supervised few-shot semantic segmentation (WFSS).
• Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
  20 Dec 2024 1 repository listed
  Furthermore, 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…
• FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
  12 Dec 2024 1 repository listed
  Existing few-shot medical image segmentation (FSMIS) models fail to address a practical issue in medical imaging: the domain shift caused by different imaging techniques, which limits the applicability to current FSMIS…
• Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
  29 Oct 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Cross-domain few-shot segmentation (CD-FSS) is proposed to first pre-train the model on a large-scale source-domain dataset, and then transfer the model to data-scarce target-domain datasets for pixel-level segmentation.
• Bridge the Points: Graph-based Few-shot Segment Anything Semantically
  9 Oct 2024 1 repository listed Syntology ran 2 of 4 samples · 2 unverified
  Another subsequent Point-Mask Clustering module aligns the granularity of masks and selected points as a directed graph, based on mask coverage over points.
• Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
  3 Oct 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  The Diffusion Model has not only garnered noteworthy achievements in the realm of image generation but has also demonstrated its potential as an effective pretraining method utilizing unlabeled data.
• RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
  1 Oct 2024 1 repository listed
  Specifically, we formulate the EMD transportation process between the foreground support-query features, the texture structure aware weights generation method, which proposes to perform the sobel based image gradient…
• Hybrid Mamba for Few-Shot Segmentation
  29 Sep 2024 1 repository listed Syntology ran 11 of 13 samples · 2 unverified · 13 pointer-only (licence)
  Hence, we aim to devise a cross (attention-like) Mamba to capture inter-sequence dependencies for FSS.
• A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
  26 Sep 2024 1 repository listed
  The 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.
• Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark
  17 Sep 2024 1 repository listed
  While 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.
• MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
  17 Sep 2024 1 repository listed
  Our approach introduces the spatial transformer decoder and the contextual mask generation module to improve the relational understanding between support and query images.
• Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollution
  5 Sep 2024 1 repository listed
  In this work, we compare the performance of FMs to finetuned pre-trained supervised models in the task of semantic segmentation on an entirely new dataset.
• TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
  28 Aug 2024 1 repository listed
  However, this approach introduces a data imbalance biased to novel data that presents a new challenge of catastrophic forgetting.
• Applying ViT in Generalized Few-shot Semantic Segmentation
  27 Aug 2024 1 repository listed
  This paper explores the capability of ViT-based models under the generalized few-shot semantic segmentation (GFSS) framework.
• Small Object Few-shot Segmentation for Vision-based Industrial Inspection
  31 Jul 2024 1 repository listed
  Compared to common objects in natural images, the defects in VII are small.
• Eliminating Feature Ambiguity for Few-Shot Segmentation
  13 Jul 2024 1 repository listed Syntology ran 20 of 24 samples · 4 unverified · 24 pointer-only (licence)
  Recent advancements in few-shot segmentation (FSS) have exploited pixel-by-pixel matching between query and support features, typically based on cross attention, which selectively activate query foreground (FG) features…

Syntology lines on 8 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.