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Domain Generalization

24 papers with code · Methodology
Subtask of Domain Adaptation

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Greatest papers with code

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

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

Unified Deep Supervised Domain Adaptation and Generalization

ICCV 2017 samotiian/CCSA

This work provides a unified framework for addressing the problem of visual supervised domain adaptation and generalization with deep models.

DOMAIN GENERALIZATION

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

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

Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data

ICCV 2019 xyyue/DRPC

To this end, we propose a new approach of domain randomization and pyramid consistency to learn a model with high generalizability.

DOMAIN GENERALIZATION SEMANTIC SEGMENTATION