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Hotspot Detection via Multi-task Learning and Transformer Encoder
Binwu Zhu
, Ran Chen
, Xinyun Zhang
, Fan Yang
, Xuan Zeng
, Bei Yu
,
Martin D. F. Wong
Office of the Provost
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
20
Citations (Scopus)
Overview
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Dive into the research topics of 'Hotspot Detection via Multi-task Learning and Transformer Encoder'. Together they form a unique fingerprint.
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Keyphrases
Central Region
33%
Deep Learning Methods
33%
Defect Detection
33%
Defect Region
33%
Detection Method
33%
Downscaling
33%
Fast Inference
33%
Feature Aggregation Module
33%
Feature Representation
33%
Hotspot Detection
100%
Inference Speed
33%
Module Base
33%
Multi-task
33%
Multi-task Learning
100%
Multi-task Transformer
100%
Multiple Hotspots
33%
Multistage Detector
33%
Physical Verification
33%
Potential Region
33%
Rapid Development
33%
Representational Capacity
33%
Semiconductors
33%
Single-stage
33%
Topological Features
33%
Transformer Encoder
100%
Engineering
Central Region
100%
Deep Learning Method
100%
Detection Process
100%
Experimental Result
100%
Feature Size
100%
Learning Task
100%
Learning Technique
100%
Multistage
100%
Process Time
100%
Simplifies
100%
Computer Science
Central Region
100%
Deep Learning Technique
100%
Detection Process
100%
Experimental Result
100%
Multiple Task
100%
Multitask Learning
100%
Rapid Development
100%
Refinement Step
100%
Topological Feature
100%
Chemical Engineering
Deep Learning Method
100%