首页|Study Data from Shandong Normal University Update Understanding of Intelligent S ystems (Nested Attention Network Based On Category Contexts Learning for Semanti c Segmentation)
Study Data from Shandong Normal University Update Understanding of Intelligent S ystems (Nested Attention Network Based On Category Contexts Learning for Semanti c Segmentation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning - Intelligent Systems. Accordingto news reporting originating in Shandong, People’s Republic of China, by NewsRx journalists, researchstated, “ The attention mechanism is widely used in the field of semantic segmentation, du e to thefact that it can be used to obtain effective long-distance dependencies by assigning different weights toobjects according to different tasks. We prop ose a novel Nested Attention Network (NANet) for semanticsegmentation, which co mbines Feature Category Attention (FCA) and Channel Relationship Attention(CRA) to effectively aggregate same-category contexts in both spatial and channel dim ensions.”
ShandongPeople’s Republic of ChinaAs iaIntelligent SystemsMachine LearningShandong Normal University
NETL
NSTL
