Human Part Segmentation

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 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

10 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

15 shown of 15 papers with code (19 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.

• Mask R-CNN
  20 Mar 2017 179 repositories listed Syntology ran 42 of 140 samples · 98 unverified · 23 pointer-only (licence)
  Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.
• Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
  16 Apr 2020 4 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  In this technical report, we present two novel datasets for image scene understanding.
• Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
  11 Jul 2019 3 repositories listed
  On the other hand, if part labels are also available in the real-images during training, our method outperforms the supervised state-of-the-art methods by a large margin.
• Sapiens: Foundation for Human Vision Models
  22 Aug 2024 2 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  We present Sapiens, a family of models for four fundamental human-centric vision tasks -- 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction.
• Hulk: A Universal Knowledge Translator for Human-Centric Tasks
  4 Dec 2023 2 repositories listed Syntology ran 12 of 24 samples · 12 unverified
  Human-centric perception tasks, e.
• Self-Correction for Human Parsing
  22 Oct 2019 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  To tackle the problem of learning with label noises, this work introduces a purification strategy, called Self-Correction for Human Parsing (SCHP), to progressively promote the reliability of the supervised labels as…
• Parsing R-CNN for Instance-Level Human Analysis
  30 Nov 2018 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  Models need to distinguish different human instances in the image panel and learn rich features to represent the details of each instance.
• Learning from Synthetic Humans
  5 Jan 2017 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  In this work we present SURREAL (Synthetic hUmans foR REAL tasks): a new large-scale dataset with synthetically-generated but realistic images of people rendered from 3D sequences of human motion capture data.
• UniHCP: A Unified Model for Human-Centric Perceptions
  6 Mar 2023 1 repository listed Syntology ran 7 of 13 samples · 6 unverified
  When adapted to a specific task, UniHCP achieves new SOTAs on a wide range of human-centric tasks, e.
• KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences
  21 Jun 2022 1 repository listed
  Human densepose estimation, aiming at establishing dense correspondences between 2D pixels of human body and 3D human body template, is a key technique in enabling machines to have an understanding of people in images.
• PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
  15 Jan 2021 1 repository listed
  The toolkit aims to help both developers and researchers in the whole process of designing segmentation models, training models, optimizing performance and inference speed, and deploying models.
• Instance-level Human Parsing via Part Grouping Network
  1 Aug 2018 1 repository listed Syntology ran 0 of 14 samples · 14 unverified
  Instance-level human parsing towards real-world human analysis scenarios is still under-explored due to the absence of sufficient data resources and technical difficulty in parsing multiple instances in a single pass.
• Macro-Micro Adversarial Network for Human Parsing
  22 Jul 2018 1 repository listed
  To address the two kinds of inconsistencies, this paper proposes the Macro-Micro Adversarial Net (MMAN).
• Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
  11 May 2018 1 repository listed
  In this paper, we present a novel method to generate synthetic human part segmentation data using easily-obtained human keypoint annotations.
• UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
  7 Sep 2016 1 repository listed
  In this work we introduce a convolutional neural network (CNN) that jointly handles low-, mid-, and high-level vision tasks in a unified architecture that is trained end-to-end.

Syntology lines on 9 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.