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Auxiliary Learning

Auxiliary learning aims to find or design auxiliary tasks which can improve the performance on one or some primary tasks.

( Image credit: Self-Supervised Generalisation with Meta Auxiliary Learning )

Papers

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Showing 31–40 of 100 papers

TitleStatusHype
DistillPose: Lightweight Camera Localization Using Auxiliary Learning—0
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning—0
Deep auxiliary learning for visual localization using colorization task—0
Auxiliary Tasks and Exploration Enable ObjectGoal Navigation—0
Introducing Depth into Transformer-based 3D Object Detection—0
Cross-Modal Image Fusion Theory Guided by Subjective Visual Attention—0
Auxiliary learning induced graph convolutional networks—0
A Cross-Modal Image Fusion Method Guided by Human Visual Characteristics—0
Bootstrapped Representations in Reinforcement Learning—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
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