One-Shot 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

2 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

21 shown of 21 papers with code (35 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.

• One-Shot Learning for Semantic Segmentation
  11 Sep 2017 8 repositories listed
  Low-shot learning methods for image classification support learning from sparse data.
• Image Segmentation Using Text and Image Prompts
  18 Dec 2021 6 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  After training on an extended version of the PhraseCut dataset, our system generates a binary segmentation map for an image based on a free-text prompt or on an additional image expressing the query.
• Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images
  10 Mar 2023 2 repositories listed
  We propose a framework for the automatic one-shot segmentation of synthetic images generated by a StyleGAN.
• DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
  16 Apr 2025 1 repository listed
  In this work, we propose the Dual Consistency SAM (DC-SAM) method based on prompt-tuning to adapt SAM and SAM2 for in-context segmentation of both images and videos.
• One Shot is Enough for Sequential Infrared Small Target Segmentation
  9 Aug 2024 1 repository listed
  Infrared small target sequences exhibit strong similarities between frames and contain rich contextual information, which motivates us to achieve sequential infrared small target segmentation (IRSTS) with minimal data.
• Deep ContourFlow: Advancing Active Contours with Deep Learning
  15 Jul 2024 1 repository listed
  This paper introduces a novel approach that combines unsupervised active contour models with deep learning for robust and adaptive image segmentation.
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
  3 Jul 2024 1 repository listed
  We propose a generative model that compresses discrete representations of each sequence to estimate the Gaussian distribution of vector-quantized common (VQC) latent space between multiple sequences.
• SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation
  24 Nov 2023 1 repository listed Syntology ran 4 of 9 samples · 5 unverified
  In-context segmentation aims at segmenting novel images using a few labeled example images, termed as "in-context examples", exploring content similarities between examples and the target.
• AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation
  2 Sep 2023 1 repository listed
  To address these issues, we propose a novel one-shot medical image segmentation method with adversarial training and label error rectification (AdLER), with the aim of improving the diversity of generated data and…
• One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt
  17 Apr 2023 1 repository listed
  Semantic segmentation of microscopic cell images using deep learning is an important technique, however, it requires a large number of images and ground truth labels for training.
• One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation
  13 Mar 2023 1 repository listed
  However, accurate segmentation of novel WM tracts can still be challenging in the one-shot setting, where only one scan is annotated for the novel WM tracts.
• Robust One-shot Segmentation of Brain Tissues via Image-aligned Style Transformation
  26 Nov 2022 1 repository listed
  In this paper, we propose a novel image-aligned style transformation to reinforce the dual-model iterative learning for robust one-shot segmentation of brain tissues.
• One-Shot Transfer of Affordance Regions? AffCorrs!
  15 Sep 2022 1 repository listed
  In this work, we tackle one-shot visual search of object parts.
• One-Shot Synthesis of Images and Segmentation Masks
  15 Sep 2022 1 repository listed
  To this end, inspired by the recent architectural developments of single-image GANs, we introduce our OSMIS model which enables the synthesis of segmentation masks that are precisely aligned to the generated images in…
• Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
  9 Jun 2022 1 repository listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Recent self-supervised advances in medical computer vision exploit global and local anatomical self-similarity for pretraining prior to downstream tasks such as segmentation.
• One-shot Weakly-Supervised Segmentation in Medical Images
  21 Nov 2021 1 repository listed
  Deep neural networks usually require accurate and a large number of annotations to achieve outstanding performance in medical image segmentation.
• End-to-end One-shot Human Parsing
  4 May 2021 1 repository listed
  To address three main challenges in OSHP, i.
• Progressive One-shot Human Parsing
  22 Dec 2020 1 repository listed
  In this paper, we devise a novel Progressive One-shot Parsing network (POPNet) to address two critical challenges , i.
• Contour Transformer Network for One-shot Segmentation of Anatomical Structures
  2 Dec 2020 1 repository listed
  In this work, we present Contour Transformer Network (CTN), a one-shot anatomy segmentation method with a naturally built-in human-in-the-loop mechanism.
• BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
  14 Aug 2020 1 repository listed
  (2) The object categories at the training and inference stages have no overlap, leaving the inter-class gap.
• One-Shot Segmentation in Clutter
  26 Mar 2018 1 repository listed
  We tackle the problem of one-shot segmentation: finding and segmenting a previously unseen object in a cluttered scene based on a single instruction example.

Syntology lines on 3 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.