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Human Part Segmentation

8 papers with code · Computer Vision

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Learning from Synthetic Humans

CVPR 2017 gulvarol/surreal

In this work we present SURREAL (Synthetic hUmans foR REAL tasks): a new large-scale dataset with synthetically-generated but realistic images of people rendered from 3D sequences of human motion capture data.

3D HUMAN POSE ESTIMATION HUMAN PART SEGMENTATION MOTION CAPTURE

Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer

CVPR 2018 MVIG-SJTU/WSHP

In this paper, we present a novel method to generate synthetic human part segmentation data using easily-obtained human keypoint annotations.

#4 best model for Human Part Segmentation on PASCAL-Person-Part (using extra training data)

HUMAN PARSING HUMAN PART SEGMENTATION SEMANTIC SEGMENTATION TRANSFER LEARNING

Instance-level Human Parsing via Part Grouping Network

ECCV 2018 Engineering-Course/CIHP_PGN

Instance-level human parsing towards real-world human analysis scenarios is still under-explored due to the absence of sufficient data resources and technical difficulty in parsing multiple instances in a single pass.

EDGE DETECTION HUMAN PARSING HUMAN PART SEGMENTATION REPRESENTATION LEARNING

Macro-Micro Adversarial Network for Human Parsing

ECCV 2018 RoyalVane/MMAN

To address the two kinds of inconsistencies, this paper proposes the Macro-Micro Adversarial Net (MMAN).

HUMAN PARSING HUMAN PART SEGMENTATION SEMANTIC SEGMENTATION

Self-Correction for Human Parsing

22 Oct 2019PeikeLi/Self-Correction-Human-Parsing

To tackle the problem of learning with label noises, this work introduces a purification strategy, called Self-Correction for Human Parsing (SCHP), to progressively promote the reliability of the supervised labels as well as the learned models.

HUMAN PARSING HUMAN PART SEGMENTATION SEMANTIC SEGMENTATION

Parsing R-CNN for Instance-Level Human Analysis

CVPR 2019 soeaver/Parsing-R-CNN

Models need to distinguish different human instances in the image panel and learn rich features to represent the details of each instance.

HUMAN-OBJECT INTERACTION DETECTION HUMAN PART SEGMENTATION MULTI-HUMAN PARSING POSE ESTIMATION

Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation

11 Jul 2019kevinlin311tw/CDCL-human-part-segmentation

On the other hand, if part labels are also available in the real-images during training, our method outperforms the supervised state-of-the-art methods by a large margin.

 SOTA for Human Part Segmentation on PASCAL-Person-Part (using extra training data)

DOMAIN ADAPTATION HUMAN PART SEGMENTATION MULTI-HUMAN PARSING POSE ESTIMATION