About

Human parsing is the task of segmenting a human image into different fine-grained semantic parts such as head, torso, arms and legs.

( Image credit: Multi-Human-Parsing (MHP) )

Benchmarks

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Subtasks

Datasets

Greatest papers with code

Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing

10 Apr 2018ZhaoJ9014/Multi-Human-Parsing

Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding humans in crowded scenes, such as group behavior analysis, person re-identification and autonomous driving, etc.

AUTONOMOUS DRIVING INSTANCE SEGMENTATION MULTI-HUMAN PARSING PERSON RE-IDENTIFICATION SALIENCY PREDICTION SEMANTIC SEGMENTATION

Multiple-Human Parsing in the Wild

19 May 2017ZhaoJ9014/Multi-Human-Parsing

To address the multi-human parsing problem, we introduce a new multi-human parsing (MHP) dataset and a novel multi-human parsing model named MH-Parser.

MULTI-HUMAN PARSING

Self-Correction for Human Parsing

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

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.

HUMAN PARSING HUMAN PART SEGMENTATION SEMANTIC SEGMENTATION

Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark

5 Apr 2018Engineering-Course/LIP_JPPNet

To further explore and take advantage of the semantic correlation of these two tasks, we propose a novel joint human parsing and pose estimation network to explore efficient context modeling, which can simultaneously predict parsing and pose with extremely high quality.

HUMAN PARSING POSE ESTIMATION SEMANTIC SEGMENTATION

Instance-level Human Parsing via Part Grouping Network

ECCV 2018 Engineering-Course/CIHP_PGN

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.

EDGE DETECTION HUMAN PARSING HUMAN PART SEGMENTATION REPRESENTATION LEARNING

Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer

CVPR 2018 MVIG-SJTU/WSHP

In this paper, we present a novel method to generate synthetic human part segmentation data using easily-obtained human keypoint annotations.

Ranked #4 on Human Part Segmentation on PASCAL-Part (using extra training data)

HUMAN PARSING HUMAN PART SEGMENTATION SEMANTIC SEGMENTATION TRANSFER LEARNING

Parsing R-CNN for Instance-Level Human Analysis

CVPR 2019 soeaver/Parsing-R-CNN

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

HUMAN-OBJECT INTERACTION DETECTION HUMAN PART SEGMENTATION MULTI-HUMAN PARSING POSE ESTIMATION

Macro-Micro Adversarial Network for Human Parsing

ECCV 2018 RoyalVane/MMAN

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

HUMAN PARSING HUMAN PART SEGMENTATION SEMANTIC SEGMENTATION