Hierarchical Human Parsing with Typed Part-Relation Reasoning
Self-Learning with Rectification Strategy for Human Parsing
ICCV 2019
Learning Compositional Neural Information Fusion for Human Parsing
Multi-class Part Parsing with Joint Boundary-Semantic Awareness
CVPR 2019
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Parsing R-CNN for Instance-Level Human Analysis
MM 2019
BraidNet: Braiding Semantics and Details for Accurate Human Parsing
AAAI 2019
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
ICIP 2019
Improving Human Parsing by Extracting Global Information Using the Non-Local Operation
Classification Assisted Segmentation Network for Human Parsing
CVPR 2018
Weakly and semi supervised human body part parsing via pose-guided knowledge transfer
ECCV 2018
Instance-level Human Parsing via Part Grouping Network
Macro-Micro Adversarial Network for Human Parsing
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation
AAAI 2018
Progressive Cognitive Human Parsing
MM 2018
Trusted Guidance Pyramid Network for Human Parsing
ICME 2018
Finer-Net: Cascaded Human Parsing with Hierarchical Granularity
CVPR 2017
Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
Interpretable structure evolving lstm
ICCV 2017
Embedding 3D Geometric Features for Rigid Object Part Segmentation
Axiv
Learning Semantic Neural Tree for Human Parsing(2019)
Self-Correction for Human Parsing(2019)
Before 2017
Semantic Part Segmentation using Compositional Model combining Shape and Appearance(CVPR 2015)
主要做动物的部件分割。提出数据集Horse-Cow:从PASCAL VOC 2010中手动选择一些可完全观察的动物实例(所以遮挡很少),标注了四种部件类别(头,腿,尾巴,身体)。训练集294,测试集227.
Parsing semantic parts of cars using graphical models and segment appearance consistency(BMVC 2014)
Poseguided human parsing by an and/or graph using pose-context features(AAAI 2016)
Joint object and part segmentation using deep learned potentials(ICCV 2015)
Semantic object parsing with graph lstm(ECCV 2016)