Human Part Segmentation

14 papers with code • 6 benchmarks • 9 datasets

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Hulk: A Universal Knowledge Translator for Human-Centric Tasks

opengvlab/humanbench 4 Dec 2023

Human-centric perception tasks, e. g., pedestrian detection, skeleton-based action recognition, and pose estimation, have wide industrial applications, such as metaverse and sports analysis.

202
04 Dec 2023

UniHCP: A Unified Model for Human-Centric Perceptions

opengvlab/unihcp CVPR 2023

When adapted to a specific task, UniHCP achieves new SOTAs on a wide range of human-centric tasks, e. g., 69. 8 mIoU on CIHP for human parsing, 86. 18 mA on PA-100K for attribute prediction, 90. 3 mAP on Market1501 for ReID, and 85. 8 JI on CrowdHuman for pedestrian detection, performing better than specialized models tailored for each task.

133
06 Mar 2023

KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences

stoa-xh91/humandensepose 21 Jun 2022

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.

4
21 Jun 2022

PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation

PaddlePaddle/PaddleSeg 15 Jan 2021

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.

8,168
15 Jan 2021

Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding

tue-mps/panoptic_parts 16 Apr 2020

In this technical report, we present two novel datasets for image scene understanding.

101
16 Apr 2020

Self-Correction for Human Parsing

PeikeLi/Self-Correction-Human-Parsing 22 Oct 2019

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 well as the learned models.

908
22 Oct 2019

Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation

kevinlin311tw/CDCL-human-part-segmentation 11 Jul 2019

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.

266
11 Jul 2019

Parsing R-CNN for Instance-Level Human Analysis

soeaver/Parsing-R-CNN CVPR 2019

Models need to distinguish different human instances in the image panel and learn rich features to represent the details of each instance.

296
30 Nov 2018

Instance-level Human Parsing via Part Grouping Network

Engineering-Course/CIHP_PGN ECCV 2018

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.

407
01 Aug 2018

Macro-Micro Adversarial Network for Human Parsing

RoyalVane/MMAN ECCV 2018

To address the two kinds of inconsistencies, this paper proposes the Macro-Micro Adversarial Net (MMAN).

208
22 Jul 2018