Collaborative Content-Dependent Modeling: A Return to the Roots of Salient Object Detection

Salient object detection (SOD) aims to identify the most visually distinctive object(s) from each given image. Most recent progresses focus on either adding elaborative connections among different convolution blocks or introducing boundary-aware supervision to help achieve better segmentation, which...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 32; pp. 4237 - 4246
Main Authors:	Jiao, Siyu, Goel, Vidit, Navasardyan, Shant, Yang, Zongxin, Khachatryan, Levon, Yang, Yi, Wei, Yunchao, Zhao, Yao, Shi, Humphrey
Format:	Journal Article
Language:	English
Published:	United States IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Coders Collaboration content-dependent modeling Context Convolution Decoding Encoders-Decoders Feature extraction Head Image segmentation Modules Object detection Object recognition Roots Salience Salient object detection Task analysis Transformers
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!