Trusted Guidance Pyramid Network for Human Parsing
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Updated
Jul 22, 2018 - Jupyter Notebook
Trusted Guidance Pyramid Network for Human Parsing
Code repository for Self-supervised Structure-sensitive Learning, CVPR'17
Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.
JPPNet implementation in TensorFlow for human parsing
Repository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)
Parsing Human Parts
[AAAI 2020] (oral) Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
(ICCV2019) Learning Compositional Neural Infomation Fusion for Human Parsing
Part Grouping Network (PGN) implementation in TensorFlow, for custom parsing dataset
Tensorflow 2.x implementation for Human Parsing via Part Grouping Network
PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.
Single Human Parsing using PSPNet
Pytorch implementation of CVPR2020 paper "Correlating Edge, Pose with Parsing"
Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"
🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥
An out-of-box Human Parsing Representation Extractor on Binary images.
Tensorflow 2.3.0 implementation of DeepLabV3-Plus
[AAAI 2021] (oral) Progressive One-shot Human Parsing, [TPAMI 2023] End-to-end One-shot Human Parsing
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