Browse > Computer Vision > Human Part Segmentation

Human Part Segmentation

6 papers with code · Computer Vision

State-of-the-art leaderboards

Greatest papers with code

Mask R-CNN

ICCV 2017 tensorflow/models

Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.

 SOTA for Instance Segmentation on Cityscapes (using extra training data)

HUMAN PART SEGMENTATION INSTANCE SEGMENTATION KEYPOINT DETECTION MULTI-HUMAN PARSING OBJECT DETECTION SEMANTIC SEGMENTATION

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.

HUMAN PART SEGMENTATION MOTION CAPTURE POSE ESTIMATION

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.

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

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