☆ 4.6 Article

Pallet Recognition with Multi-Task Learning for Automated Guided Vehicles

APPLIED SCIENCES-BASEL (2021)

Related references

Note: Only part of the references are listed.

Article Computer Science, Artificial Intelligence

A Survey on Multi-Task Learning

Yu Zhang et al.

Summary: This paper provides a survey of Multi-Task Learning (MTL) from the perspective of algorithmic modeling, applications, and theoretical analyses. It discusses different MTL algorithms and their characteristics, as well as the combination of MTL with other learning paradigms. The paper also reviews MTL models for large-scale tasks or high-dimensional data, as well as dimensionality reduction and feature hashing. Real-world applications of MTL are examined, and theoretical analyses and future directions are discussed.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

Add to Collection

Article Engineering, Multidisciplinary