OCNet: object context for semantic segmentation
type: Item
instance of: scholarly article
title: OCNet: object context for semantic segmentation
zbMATH Open document ID: 1483.68452
author: Yanyan Li
published in: International Journal of Computer Vision
publication date: 2021-12-02T00:00:00Z
Mathematics Subject Classification ID: 68T45
zbMATH DE Number: 7437969
zbMATH Keywords: semantic segmentation
zbMATH Keywords: context
zbMATH Keywords: self-attention
describes a project that uses: RefineNet
describes a project that uses: SegNet
describes a project that uses: U-Net
describes a project that uses: ShuffleNet
describes a project that uses: UNet++
describes a project that uses: ADE20k
describes a project that uses: ParseNet
describes a project that uses: PASCAL-Context
describes a project that uses: Cityscapes
describes a project that uses: MS-COCO
describes a project that uses: CCNet
describes a project that uses: DeepLab
describes a project that uses: PyTorch
describes a project that uses: Visual Genome
describes a project that uses: GitHub
MaRDI profile type: Publication
full work available at URL: s11263-021-01465-9
OpenAlex ID: W3165745140
DOI: 10.1007/S11263-021-01465-9
description: scientific article; zbMATH DE number 7437969