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Multi-Human Parsing

6 papers with code · Computer Vision
Subtask of Human Parsing

Multi-human parsing is the task of parsing multiple humans in crowded scenes.

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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.

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

Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing

10 Apr 2018ZhaoJ9014/Multi-Human-Parsing_MHP

Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding humans in crowded scenes, such as group behavior analysis, person re-identification and autonomous driving, etc.

AUTONOMOUS DRIVING INSTANCE SEGMENTATION MULTI-HUMAN PARSING PERSON RE-IDENTIFICATION SALIENCY PREDICTION SEMANTIC SEGMENTATION

Multiple-Human Parsing in the Wild

19 May 2017ZhaoJ9014/Multi-Human-Parsing_MHP

To address the multi-human parsing problem, we introduce a new multi-human parsing (MHP) dataset and a novel multi-human parsing model named MH-Parser.

MULTI-HUMAN PARSING

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

Semantic Instance Segmentation with a Discriminative Loss Function

8 Aug 2017alicranck/instance-seg

In this work we propose to tackle the problem with a discriminative loss function, operating at the pixel level, that encourages a convolutional network to produce a representation of the image that can easily be clustered into instances with a simple post-processing step.

INSTANCE SEGMENTATION LANE DETECTION METRIC LEARNING MULTI-HUMAN PARSING SEMANTIC SEGMENTATION