AlignSeg: Feature-Aligned Segmentation Networks

Aggregating features in terms of different convolutional blocks or contextual embeddings has been proven to be an effective way to strengthen feature representations for semantic segmentation. However, most of the current popular network architectures tend to ignore the misalignment issues during th...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2022-01, Vol.44 (1), p.550-557
Main Authors: Huang, Zilong, Wei, Yunchao, Wang, Xinggang, Liu, Wenyu, Huang, Thomas S., Shi, Humphrey
Format: Article
Language:English
Subjects:
Adaptation models
Agglomeration
Computer architecture
context alignment
Context modeling
Convolutional codes
Data integration
feature alignment
Image segmentation
Interpolation
Misalignment
Modules
Pixels
Semantic segmentation
Semantics
Source code
Two dimensional displays
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!