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Domain Generalization

35 papers with code · Methodology
Subtask of Domain Adaptation

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On the limits of cross-domain generalization in automated X-ray prediction

6 Feb 2020ieee8023/covid-chestxray-dataset

This large scale study focuses on quantifying what X-rays diagnostic prediction tasks generalize well across multiple different datasets.

DOMAIN GENERALIZATION

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

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

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

Domain Generalization by Solving Jigsaw Puzzles

16 Mar 2019fmcarlucci/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

Domain Adaptive Ensemble Learning

16 Mar 2020KaiyangZhou/Dassl.pytorch

Each such classifier is an expert to its own domain and a non-expert to others.

DOMAIN GENERALIZATION UNSUPERVISED DOMAIN ADAPTATION

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

23 Jan 2020hytseng0509/CrossDomainFewShot

Few-shot classification aims to recognize novel categories with only few labeled images in each class.

CROSS-DOMAIN FEW-SHOT DOMAIN GENERALIZATION

Regularized Fine-grained Meta Face Anti-spoofing

25 Nov 2019rshaojimmy/AAAI2020-RFMetaFAS

Besides, to further enhance the generalization ability of our model, the proposed framework adopts a fine-grained learning strategy that simultaneously conducts meta-learning in a variety of domain shift scenarios in each iteration.

DOMAIN GENERALIZATION FACE ANTI-SPOOFING FACE RECOGNITION META-LEARNING