Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3876–3900 of 6439 papers

Title	Date	Tasks	Status	Hype
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation	Mar 22, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Unsupervised and self-adaptative techniques for cross-domain person re-identification	Mar 21, 2021	Decision MakingDomain Adaptation	CodeCode Available	0
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization	Mar 21, 2021	Abstractive Text SummarizationDomain Adaptation	CodeCode Available	1
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation	Mar 20, 2021	Domain AdaptationMulti-Source Unsupervised Domain Adaptation	—Unverified	0
Dynamic Transfer for Multi-Source Domain Adaptation	Mar 19, 2021	Domain Adaptation	CodeCode Available	1
ConDA: Continual Unsupervised Domain Adaptation	Mar 19, 2021	Domain AdaptationManagement	—Unverified	0
Computational Emotion Analysis From Images: Recent Advances and Future Directions	Mar 19, 2021	Domain AdaptationEmotion Recognition	—Unverified	0
An Efficient Method for the Classification of Croplands in Scarce-Label Regions	Mar 17, 2021	ClassificationDomain Adaptation	CodeCode Available	0
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild	Mar 16, 2021	Decision MakingDomain Adaptation	CodeCode Available	1
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis	Mar 16, 2021	DiagnosticDomain Adaptation	—Unverified	0
AI Fairness via Domain Adaptation	Mar 15, 2021	Domain AdaptationDomain Generalization	—Unverified	0
The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation	Mar 15, 2021	BenchmarkingDomain Adaptation	CodeCode Available	1
Deep Learning for Chest X-ray Analysis: A Survey	Mar 15, 2021	Deep LearningDomain Adaptation	—Unverified	0
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation	Mar 15, 2021	Cardiac SegmentationContrastive Learning	CodeCode Available	1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation	Mar 15, 2021	Domain AdaptationImage Segmentation	CodeCode Available	1
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech	Mar 12, 2021	ClassificationDomain Adaptation	—Unverified	0
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation	Mar 12, 2021	Domain AdaptationLifelong learning	—Unverified	0
In the light of feature distributions: moment matching for Neural Style Transfer	Mar 12, 2021	Domain AdaptationStyle Transfer	CodeCode Available	1
Knowledge Graph Question Answering using Graph-Pattern Isomorphism	Mar 11, 2021	Domain AdaptationGraph Question Answering	CodeCode Available	1
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss	Mar 10, 2021	Autonomous DrivingContrastive Learning	—Unverified	0
Multicalibrated Partitions for Importance Weights	Mar 10, 2021	Anomaly DetectionDomain Adaptation	—Unverified	0
Limitations of Post-Hoc Feature Alignment for Robustness	Mar 10, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Regressive Domain Adaptation for Unsupervised Keypoint Detection	Mar 10, 2021	Domain AdaptationKeypoint Detection	CodeCode Available	0
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation	Mar 9, 2021	Domain AdaptationMeta-Learning	CodeCode Available	1
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection	Mar 9, 2021	3D Object DetectionData Augmentation	CodeCode Available	1

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All datasets Office-31 SYNTHIA-to-Cityscapes GTA5 to Cityscapes Office-Home VisDA2017 ImageCLEF-DA Cityscapes to ACDC MNIST-to-USPS SVHN-to-MNIST USPS-to-MNIST SVNH-to-MNIST MoLane

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	FFTAT	Average Accuracy	96	—	Unverified
2	PMTrans	Average Accuracy	95.3	—	Unverified
3	CMKD	Average Accuracy	94.4	—	Unverified
4	SSRT-B (ours)	Average Accuracy	93.5	—	Unverified
5	CDTrans	Average Accuracy	92.6	—	Unverified
6	CoVi	Average Accuracy	91.8	—	Unverified
7	GSDE	Average Accuracy	91.7	—	Unverified
8	FixBi	Average Accuracy	91.4	—	Unverified
9	Contrastive Adaptation Network	Average Accuracy	90.6	—	Unverified
10	BIWAA	Average Accuracy	90.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HALO	mIoU	78.1	—	Unverified
2	ILM-ASSL	mIoU	76.6	—	Unverified
3	DCF	mIoU	69.3	—	Unverified
4	HRDA+PiPa	mIoU	68.2	—	Unverified
5	MIC	mIoU	67.3	—	Unverified
6	FREDOM - Transformer	mIoU	67	—	Unverified
7	HRDA	mIoU	65.8	—	Unverified
8	SePiCo	mIoU	64.3	—	Unverified
9	MIC + Guidance Training	mIoU	63.8	—	Unverified
10	DAFormer + ProCST	mIoU	61.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HALO	mIoU	77.8	—	Unverified
2	DCF	mIoU	77.7	—	Unverified
3	ILM-ASSL	mIoU	76.1	—	Unverified
4	MIC	mIoU	75.9	—	Unverified
5	HRDA+PiPa	mIoU	75.6	—	Unverified
6	HRDA	mIoU	73.8	—	Unverified
7	FREDOM - Transformer	mIoU	73.6	—	Unverified
8	HALO	mIoU	73.3	—	Unverified
9	SePiCo	mIoU	70.3	—	Unverified
10	DAFormer + ProCST	mIoU	69.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SWG	Accuracy	92.3	—	Unverified
2	RCL	Accuracy	90	—	Unverified
3	PGA (ViT-L/14)	Accuracy	89.4	—	Unverified
4	PMTrans	Accuracy	89	—	Unverified
5	CMKD	Accuracy	89	—	Unverified
6	MIC	Accuracy	86.2	—	Unverified
7	PGA (ViT-B/16)	Accuracy	85.1	—	Unverified
8	ELS	Accuracy	84.6	—	Unverified
9	SDAT (ViT-B/16)	Accuracy	84.3	—	Unverified
10	CDTrans (DeiT-B)	Accuracy	80.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FFTAT	Accuracy	93.8	—	Unverified
2	RCL	Accuracy	93.2	—	Unverified
3	MIC	Accuracy	92.8	—	Unverified
4	SWG	Accuracy	92.7	—	Unverified
5	CMKD	Accuracy	91.8	—	Unverified
6	DePT	Accuracy	90.7	—	Unverified
7	SDAT(ViT)	Accuracy	89.8	—	Unverified
8	SFDA2++	Accuracy	89.6	—	Unverified
9	PMtrans	Accuracy	88.8	—	Unverified
10	CoVi	Accuracy	88.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CMKD	Accuracy	94.3	—	Unverified
2	MCC+NWD	Accuracy	90.7	—	Unverified
3	GLOT-DR	Accuracy	90.4	—	Unverified
4	SPL	Accuracy	90.3	—	Unverified
5	DFA-SAFN	Accuracy	90.2	—	Unverified
6	DADA	Accuracy	89.3	—	Unverified
7	DFA-ENT	Accuracy	89.1	—	Unverified
8	MEDM	Accuracy	88.9	—	Unverified
9	DDA	Accuracy	88.9	—	Unverified
10	IAFN+ENT	Accuracy	88.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SoRA	mIoU	78.8	—	Unverified
2	Rein	mIoU	77.6	—	Unverified
3	CoDA	mIoU	72.6	—	Unverified
4	Refign (HRDA)	mIoU	72.1	—	Unverified
5	HALO	mIoU	71.9	—	Unverified
6	MIC	mIoU	70.4	—	Unverified
7	HRDA	mIoU	68	—	Unverified
8	Refign (DAFormer)	mIoU	65.5	—	Unverified
9	VBLC (DAFormer)	mIoU	64.2	—	Unverified
10	CMFormer	mIoU	60.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FACT	Accuracy	98.8	—	Unverified
2	FAMCD	Accuracy	98.72	—	Unverified
3	DFA-MCD	Accuracy	98.6	—	Unverified
4	Mean teacher	Accuracy	98.26	—	Unverified
5	DRANet	Accuracy	98.2	—	Unverified
6	SHOT	Accuracy	98	—	Unverified
7	DFA-ENT	Accuracy	97.9	—	Unverified
8	CyCleGAN (Light-weight Calibrator)	Accuracy	97.1	—	Unverified