TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Domain Adaptation	HMDBfull-to-UCF	MCD	Accuracy	79.34	# 3
Domain Adaptation	MNIST-to-USPS	MCD	Accuracy	93.8	# 9
Domain Adaptation	SVHN-to-MNIST	MCD	Accuracy	95.8	# 5
Synthetic-to-Real Translation	Syn2Real-C	MCD	Accuracy	71.9	# 4
Domain Adaptation	SYNSIG-to-GTSRB	MCD	Accuracy	94.4	# 3
Domain Adaptation	UCF-to-HMDBfull	MCD	Accuracy	73.89	# 4
Domain Adaptation	USPS-to-MNIST	MCD	Accuracy	95.7	# 8

🦡 Badges

Include the markdown at the top of your GitHub README.md file to showcase the performance of the model.

Badges are live and will be dynamically updated with the latest ranking of this paper.

Badge	Markdown
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/maximum-classifier-discrepancy-for/domain-adaptation-on-hmdbfull-to-ucf)](https://paperswithcode.com/sota/domain-adaptation-on-hmdbfull-to-ucf?p=maximum-classifier-discrepancy-for)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/maximum-classifier-discrepancy-for/domain-adaptation-on-synsig-to-gtsrb)](https://paperswithcode.com/sota/domain-adaptation-on-synsig-to-gtsrb?p=maximum-classifier-discrepancy-for)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/maximum-classifier-discrepancy-for/synthetic-to-real-translation-on-syn2real-c)](https://paperswithcode.com/sota/synthetic-to-real-translation-on-syn2real-c?p=maximum-classifier-discrepancy-for)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/maximum-classifier-discrepancy-for/domain-adaptation-on-ucf-to-hmdbfull)](https://paperswithcode.com/sota/domain-adaptation-on-ucf-to-hmdbfull?p=maximum-classifier-discrepancy-for)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/maximum-classifier-discrepancy-for/domain-adaptation-on-svhn-to-mnist)](https://paperswithcode.com/sota/domain-adaptation-on-svhn-to-mnist?p=maximum-classifier-discrepancy-for)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/maximum-classifier-discrepancy-for/domain-adaptation-on-usps-to-mnist)](https://paperswithcode.com/sota/domain-adaptation-on-usps-to-mnist?p=maximum-classifier-discrepancy-for)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/maximum-classifier-discrepancy-for/domain-adaptation-on-mnist-to-usps)](https://paperswithcode.com/sota/domain-adaptation-on-mnist-to-usps?p=maximum-classifier-discrepancy-for)`

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

CVPR 2018 • Kuniaki Saito • Kohei Watanabe • Yoshitaka Ushiku • Tatsuya Harada

In this work, we present a method for unsupervised domain adaptation. Many adversarial learning methods train domain classifier networks to distinguish the features as either a source or target and train a feature generator network to mimic the discriminator... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract

Code

Add Remove Mark official

mil-tokyo/MCD_DA official

376

Nyn-ynu/MCD

HiGal/Domain-Adaptation

onedayatatime0923/Cycle_Mcd_Gan

binhuixie/summer_work

Tasks

Add Remove

DOMAIN ADAPTATION

IMAGE CLASSIFICATION

SEMANTIC SEGMENTATION

UNSUPERVISED DOMAIN ADAPTATION

Datasets

ImageNet

COCO

Cityscapes

SVHN

GTA5

PASCAL Context

Results from the Paper

Edit

Ranked #3 on Domain Adaptation on HMDBfull-to-UCF

Get a GitHub badge

TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Domain Adaptation	HMDBfull-to-UCF	MCD	Accuracy	79.34	# 3	Compare
Domain Adaptation	MNIST-to-USPS	MCD	Accuracy	93.8	# 9	Compare
Synthetic-to-Real Translation	Syn2Real-C	MCD	Accuracy	71.9	# 4	Compare
Domain Adaptation	SYNSIG-to-GTSRB	MCD	Accuracy	94.4	# 3	Compare
Domain Adaptation	UCF-to-HMDBfull	MCD	Accuracy	73.89	# 4	Compare
Domain Adaptation	USPS-to-MNIST	MCD	Accuracy	95.7	# 8	Compare

Results from Other Papers

TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	SOURCE PAPER	COMPARE
Domain Adaptation	SVHN-to-MNIST	MCD	Accuracy	95.8	# 5		See all

Methods used in the Paper

Add Remove

METHOD	TYPE
🤖 No Methods Found	Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Code Edit Add Remove Mark official

Tasks Edit Add Remove

Datasets Edit

Results from the Paper Edit