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  • Human Parsing/Object Segmentation论文

    CVPR 2020

    1. Part-aware Context Network for Human Parsing
    2. Hierarchical Human Parsing with Typed Part-Relation Reasoning
    3. Self-Learning with Rectification Strategy for Human Parsing

    ICCV 2019

    1. Learning Compositional Neural Information Fusion for Human Parsing
    2. Multi-class Part Parsing with Joint Boundary-Semantic Awareness

    CVPR 2019

    1. Graphonomy: Universal Human Parsing via Graph Transfer Learning
    2. Parsing R-CNN for Instance-Level Human Analysis

    MM 2019

    1. BraidNet: Braiding Semantics and Details for Accurate Human Parsing

    AAAI 2019

    1. Devil in the Details: Towards Accurate Single and Multiple Human Parsing

    ICIP 2019

    1. Improving Human Parsing by Extracting Global Information Using the Non-Local Operation
    2. Classification Assisted Segmentation Network for Human Parsing

    CVPR 2018

    1. Weakly and semi supervised human body part parsing via pose-guided knowledge transfer

    ECCV 2018

    1. Instance-level Human Parsing via Part Grouping Network
    2. Macro-Micro Adversarial Network for Human Parsing
    3. Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation

    AAAI 2018

    1. Progressive Cognitive Human Parsing

    MM 2018

    1. Trusted Guidance Pyramid Network for Human Parsing

    ICME 2018

    1. Finer-Net: Cascaded Human Parsing with Hierarchical Granularity

    CVPR 2017

    1. Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing
    2. Joint Multi-Person Pose Estimation and Semantic Part Segmentation
    3. Interpretable structure evolving lstm

    ICCV 2017

    1. Embedding 3D Geometric Features for Rigid Object Part Segmentation

    Axiv

    1. Learning Semantic Neural Tree for Human Parsing(2019)
    2. Self-Correction for Human Parsing(2019)

    Before 2017

    1. 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.
    2. Parsing semantic parts of cars using graphical models and segment appearance consistency(BMVC 2014)
    3. Poseguided human parsing by an and/or graph using pose-context features(AAAI 2016)
    4. Joint object and part segmentation using deep learned potentials(ICCV 2015)
    5. Semantic object parsing with graph lstm(ECCV 2016)
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  • 原文地址:https://www.cnblogs.com/tofengz/p/13285856.html
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