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Awesome Multi-Task Learning

This page contains a list of papers on multi-task learning for computer vision. Please create a pull request if you wish to add anything. If you are interested, consider reading our recent survey paper.

Multi-Task Learning for Dense Prediction Tasks: A Survey

Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai and Luc Van Gool.

Workshop

:loudspeaker: :loudspeaker: :loudspeaker: We organized a workshop on multi-task learning at ICCV 2021 (Link).

Table of Contents:

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Survey papers

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Datasets

The following datasets have been regularly used in the context of multi-task learning:

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Architectures

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Encoder-based architectures

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Decoder-based architectures

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Other

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Neural Architecture Search

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Optimization strategies

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Transfer learning & Domain Adaptation

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Robustness

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Other