Video Polyp Segmentation

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 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

4 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (25 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.

• U-Net: Convolutional Networks for Biomedical Image Segmentation
  18 May 2015 487 repositories listed Syntology ran 510 of 757 samples · 247 unverified · 426 pointer-only (licence)
  There is large consent that successful training of deep networks requires many thousand annotated training samples.
• UNet++: A Nested U-Net Architecture for Medical Image Segmentation
  18 Jul 2018 34 repositories listed Syntology ran 5 of 28 samples · 23 unverified · 2 pointer-only (licence)
  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
• Video Polyp Segmentation: A Deep Learning Perspective
  27 Mar 2022 4 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era.
• PraNet: Parallel Reverse Attention Network for Polyp Segmentation
  13 Jun 2020 4 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  To address these challenges, we propose a parallel reverse attention network (PraNet) for accurate polyp segmentation in colonoscopy images.
• Progressively Normalized Self-Attention Network for Video Polyp Segmentation
  18 May 2021 3 repositories listed
  Existing video polyp segmentation (VPS) models typically employ convolutional neural networks (CNNs) to extract features.
• Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?
  12 Aug 2023 2 repositories listed
  In the field of medical image segmentation, polyp segmentation holds a position of high importance, thus creating a model which is robust and precise is quite challenging.
• First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network
  21 Dec 2024 1 repository listed
  Specifically, PSDNet adopts a teacher-student framework but employs two distinct types of teachers: the propagative teacher and the semantic teacher.
• Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model
  2 Oct 2024 1 repository listed
  In this paper, we propose an innovative method named ``Automatic Polyp Segmentation with Self-Enriched Semantic Model'' to address these limitations.
• Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model
  14 Sep 2024 1 repository listed
  Early diagnosis and treatment of polyps during colonoscopy are essential for reducing the incidence and mortality of Colorectal Cancer (CRC).
• Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
  11 Sep 2024 1 repository listed
  We incorporate multi-task supervision into diffusion models to promote the discrimination of diffusion models on pixel-by-pixel segmentation.
• LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
  8 Jul 2024 1 repository listed
  To this end, we collect and annotate the first ultrasound video dataset with 100 videos for uterine fibroid segmentation (UFUV).
• SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
  19 Jun 2024 1 repository listed
  In this context, we focus on robust video polyp segmentation by enhancing the adjacent feature consistency and rebuilding the reliable polyp representation.
• MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer
  23 Jan 2024 1 repository listed
  To the best of our knowledge, our MAST is the first transformer model dedicated to video polyp segmentation.
• Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
  3 Oct 2023 1 repository listed
  We also devise a localization-based contrastive loss to reduce the lesion location distance between neighboring video frames within the same video and enlarge the location distances between frames from different…
• WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
  20 Jul 2023 1 repository listed
  In contrast, polyp bounding box annotations are much cheaper and more accessible.
• Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation
  12 Jul 2023 1 repository listed Syntology ran 6 of 11 samples · 5 unverified
  Therefore, Temporal Feature Affinity Learning (TFAL) is devised to indicate possible noisy labels by evaluating the affinity between pixels in two adjacent frames.
• The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
  11 Nov 2021 1 repository listed
  Our model starts with two separate pathways: an appearance pathway that outputs feature-based region segmentation for a single image, and a motion pathway that outputs motion features for a pair of images.
• Full-Duplex Strategy for Video Object Segmentation
  6 Aug 2021 1 repository listed Syntology ran 7 of 8 samples · 1 unverified
  Previous video object segmentation approaches mainly focus on using simplex solutions between appearance and motion, limiting feature collaboration efficiency among and across these two cues.
• Shallow Attention Network for Polyp Segmentation
  2 Aug 2021 1 repository listed
  To address the above issues, we propose the Shallow Attention Network (SANet) for polyp segmentation.
• Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection
  1 Jan 2021 1 repository listed
  Our bidirectional dynamic fusion strategy encourages the interaction of spatial and temporal information in a dynamic manner.
• MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object Segmentation
  20 Aug 2020 1 repository listed
  To further demonstrate the generalization ability of our spatiotemporal learning framework, we extend MATNet to another relevant task: dynamic visual attention prediction (DVAP).
• See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
  19 Jan 2020 1 repository listed
  We introduce a novel network, called CO-attention Siamese Network (COSNet), to address the unsupervised video object segmentation task from a holistic view.

Syntology lines on 6 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.