Papers with Code · CC BY-SA 4.0

Multi-target Domain Adaptation

14 평가 기록 4 datasets

The idea of Multi-target Domain Adaptation is to adapt a model from a single labelled source domain to multiple unlabelled target domains.

논문

Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation

2302.01516 2023-02-03 이 페이지의 평가 3건

Accuracy: 89.6

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation

2104.00808 2021-04-01 이 페이지의 평가 3건

Accuracy: 88.8

Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks

1907.03389 2019-07-08 이 페이지의 평가 2건

Accuracy: 80.2

Unsupervised Domain Adaptation by Backpropagation

1409.7495 2014-09-26 이 페이지의 평가 2건

Accuracy: 73.4

A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training

2022-09-01 이 페이지의 평가 1건

mAP@0.5: 66.64

Domain Agnostic Learning with Disentangled Representations

1904.12347 2019-04-28 이 페이지의 평가 1건

Accuracy: 21.5

Minimum Class Confusion for Versatile Domain Adaptation

1912.03699 2019-12-08 이 페이지의 평가 1건

Accuracy: 28.8

Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation

2007.07077 2020-07-14 이 페이지의 평가 1건

Accuracy: 85.2