Deep Learning for Human Parsing: A Survey

by   Xiaomei Zhang, et al.

Human parsing is a key topic in image processing with many applications, such as surveillance analysis, human-robot interaction, person search, and clothing category classification, among many others. Recently, due to the success of deep learning in computer vision, there are a number of works aimed at developing human parsing algorithms using deep learning models. As methods have been proposed, a comprehensive survey of this topic is of great importance. In this survey, we provide an analysis of state-of-the-art human parsing methods, covering a broad spectrum of pioneering works for semantic human parsing. We introduce five insightful categories: (1) structure-driven architectures exploit the relationship of different human parts and the inherent hierarchical structure of a human body, (2) graph-based networks capture the global information to achieve an efficient and complete human body analysis, (3) context-aware networks explore useful contexts across all pixel to characterize a pixel of the corresponding class, (4) LSTM-based methods can combine short-distance and long-distance spatial dependencies to better exploit abundant local and global contexts, and (5) combined auxiliary information approaches use related tasks or supervision to improve network performance. We also discuss the advantages/disadvantages of the methods in each category and the relationships between methods in different categories, examine the most widely used datasets, report performances, and discuss promising future research directions in this area.


page 1

page 3

page 4

page 5

page 6

page 7

page 8

page 10


Image Segmentation Using Deep Learning: A Survey

Image segmentation is a key topic in image processing and computer visio...

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

The huge success of deep learning in computer vision and natural languag...

Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction

Predicting an interaction before it is fully executed is very important ...

Semantic Object Parsing with Local-Global Long Short-Term Memory

Semantic object parsing is a fundamental task for understanding objects ...

Quality-Aware Network for Face Parsing

This is a very short technical report, which introduces the solution of ...

CDGNet: Class Distribution Guided Network for Human Parsing

The objective of human parsing is to partition a human in an image into ...

Sketch-based Creativity Support Tools using Deep Learning

Sketching is a natural and effective visual communication medium commonl...

Please sign up or login with your details

Forgot password? Click here to reset