Deep learning technique for human parsing: A survey and outlook
Human parsing aims to partition humans in image or video into multiple pixel-level semantic
parts. In the last decade, it has gained significantly increased interest in the computer vision …
parts. In the last decade, it has gained significantly increased interest in the computer vision …
Quality-aware network for human parsing
How to estimate the quality of the network output is an important issue, and currently there is
no effective solution in the field of human parsing. To solve this problem, this work proposes …
no effective solution in the field of human parsing. To solve this problem, this work proposes …
Depth-aware multi-person 3D pose estimation with multi-scale waterfall representations
Estimating absolute 3D poses of multiple people from monocular image is challenging due
to the presence of occlusions and the scale variation among different persons. Among the …
to the presence of occlusions and the scale variation among different persons. Among the …
Knowledge enhanced multi-task learning for simultaneous optimization of human parsing and pose estimation
Human parsing and pose estimation are both closely related to the human body structure,
and it is advantageous to deal with both together in order to assist each other's learning …
and it is advantageous to deal with both together in order to assist each other's learning …
End-to-end instance-level human parsing by segmenting persons
Instance-level human parsing is aimed at separately partitioning the human body into
different semantic parts for each individual, which remains a challenging task due to human …
different semantic parts for each individual, which remains a challenging task due to human …
FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing
Z Lin, Z Zheng - Neural Networks, 2024 - Elsevier
Most cropping-and-segmenting pattern parsers typically establish a single metric/scheme to
reason diverse inner correlations, resulting in over-general and redundant representations …
reason diverse inner correlations, resulting in over-general and redundant representations …
Boundary-guided part reasoning network for human parsing
Z Su, H Guan, Y Lai, F Zhou, Y Liang - Neurocomputing, 2023 - Elsevier
The task of human parsing aims to segment the human body into different semantic regions.
Despite advancements in this field, there are still two issues with current works: boundary …
Despite advancements in this field, there are still two issues with current works: boundary …
UV R-CNN: Stable and efficient dense human pose estimation
As a dense prediction task aimed at instance-level human analysis, dense-pose estimation
seeks to accurately map 2D pixels onto the 3D surface of the human body. Despite …
seeks to accurately map 2D pixels onto the 3D surface of the human body. Despite …
Edge devices friendly multi-human parsing with lightweight encoding and multi-scale self-attention based decoding
Multi-human parsing has received considerable research attention in recent years. Deep
learning-based Multi-human parsing methods demonstrated promising results. In reality …
learning-based Multi-human parsing methods demonstrated promising results. In reality …
Deep learning for human parsing: a survey
Human parsing is a key topic in image processing with many applications, such as
surveillance analysis, human-robot interaction, person search, and clothing category …
surveillance analysis, human-robot interaction, person search, and clothing category …