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Human Part Segmentation

8 papers with code ยท Computer Vision

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Parsing R-CNN for Instance-Level Human Analysis

CVPR 2019

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

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

CVPR 2018

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

Dense and Low-Rank Gaussian CRFs Using Deep Embeddings

ICCV 2017

In this work we introduce a structured prediction model that endows the Deep Gaussian Conditional Random Field (G-CRF) with a densely connected graph structure.

HUMAN PART SEGMENTATION SALIENCY PREDICTION SEMANTIC SEGMENTATION STRUCTURED PREDICTION

Learning From Synthetic Humans

CVPR 2017

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

DEPTH ESTIMATION HUMAN PART SEGMENTATION MOTION CAPTURE POSE ESTIMATION

UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory

7 Sep 2016

In this work we introduce a convolutional neural network (CNN) that jointly handles low-, mid-, and high-level vision tasks in a unified architecture that is trained end-to-end.

BOUNDARY DETECTION HUMAN PART SEGMENTATION OBJECT DETECTION REGION PROPOSAL SALIENCY PREDICTION SEMANTIC SEGMENTATION