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Domain Generalization

18 papers with code · Methodology
Subtask of Domain Adaptation

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A Closer Look at Few-shot Classification

ICLR 2019 wyharveychen/CloserLookFewShot

Few-shot classification aims to learn a classifier to recognize unseen classes during training with limited labeled examples.

DOMAIN GENERALIZATION FEW-SHOT IMAGE CLASSIFICATION FEW-SHOT LEARNING

A Closer Look at Few-shot Classification

ICLR 2019 wyharveychen/CloserLookFewShot

Few-shot classification aims to learn a classifier to recognize unseen classes during training with limited labeled examples.

DOMAIN GENERALIZATION FEW-SHOT IMAGE CLASSIFICATION FEW-SHOT LEARNING

A Generalization Error Bound for Multi-class Domain Generalization

24 May 2019amber0309/Domain-generalization

Domain generalization is the problem of assigning labels to an unlabeled data set, given several similar data sets for which labels have been provided.

DOMAIN GENERALIZATION

Domain Generalization by Solving Jigsaw Puzzles

16 Mar 2019amber0309/Domain-generalization

Human adaptability relies crucially on the ability to learn and merge knowledge both from supervised and unsupervised learning: the parents point out few important concepts, but then the children fill in the gaps on their own.

DOMAIN GENERALIZATION OBJECT RECOGNITION

Episodic Training for Domain Generalization

31 Jan 2019amber0309/Domain-generalization

In this paper, we build on this strong baseline by designing an episodic training procedure that trains a single deep network in a way that exposes it to the domain shift that characterises a novel domain at runtime.

DOMAIN GENERALIZATION

Domain Generalization by Marginal Transfer Learning

21 Nov 2017amber0309/Domain-generalization

Domain generalization is the problem of assigning class labels to an unlabeled test data set, given several labeled training data sets drawn from similar distributions.

DOMAIN GENERALIZATION TRANSFER LEARNING

Domain Generalization by Solving Jigsaw Puzzles

CVPR 2019 fmcarlucci/JigenDG

Human adaptability relies crucially on the ability to learn and merge knowledge both from supervised and unsupervised learning: the parents point out few important concepts, but then the children fill in the gaps on their own.

DOMAIN GENERALIZATION OBJECT RECOGNITION

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

CVPR 2019 jmfacil/camconvs

Single-view depth estimation suffers from the problem that a network trained on images from one camera does not generalize to images taken with a different camera model.

3D DEPTH ESTIMATION CALIBRATION DOMAIN GENERALIZATION