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 2526–2550 of 6439 papers

Title	Date	Tasks	Status	Hype
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects	Aug 13, 2022	counterfactualCounterfactual Inference	—Unverified	0
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation	Aug 13, 2022	Domain AdaptationGraph Attention	—Unverified	0
Combating Label Distribution Shift for Active Domain Adaptation	Aug 13, 2022	Domain Adaptation	—Unverified	0
Automated Utterance Labeling of Conversations Using Natural Language Processing	Aug 12, 2022	Domain Adaptation	CodeCode Available	0
Private Domain Adaptation from a Public Source	Aug 12, 2022	Domain Adaptation	—Unverified	0
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation	Aug 12, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer	Aug 12, 2022	Data AugmentationDomain Adaptation	—Unverified	0
Domain-invariant Prototypes for Semantic Segmentation	Aug 12, 2022	Domain AdaptationFew-Shot Learning	—Unverified	0
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval	Aug 11, 2022	Ad-Hoc Information RetrievalDomain Adaptation	CodeCode Available	1
Domain-Specific Text Generation for Machine Translation	Aug 11, 2022	Data AugmentationDomain Adaptation	CodeCode Available	1
Semantic Self-adaptation: Enhancing Generalization with a Single Sample	Aug 10, 2022	Domain AdaptationDomain Generalization	CodeCode Available	1
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation	Aug 10, 2022	Domain AdaptationIncremental Learning	—Unverified	0
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation	Aug 10, 2022	Action RecognitionDomain Adaptation	—Unverified	0
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction	Aug 10, 2022	Domain AdaptationPrediction	—Unverified	0
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching	Aug 9, 2022	Domain AdaptationGraph Matching	—Unverified	0
Vernacular Search Query Translation with Unsupervised Domain Adaptation	Aug 7, 2022	Cross-Lingual Information RetrievalDomain Adaptation	—Unverified	0
RadTex: Learning Efficient Radiograph Representations from Text Reports	Aug 5, 2022	ClassificationDecoder	—Unverified	0
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation	Aug 5, 2022	Domain AdaptationMulti-Source Unsupervised Domain Adaptation	—Unverified	0
Applied monocular reconstruction of parametric faces with domain engineering	Aug 5, 2022	Domain AdaptationMonocular Reconstruction	—Unverified	0
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels	Aug 4, 2022	ClusteringDomain Adaptation	—Unverified	0
Interpretable bilinear attention network with domain adaptation improves drug-target prediction	Aug 3, 2022	Domain AdaptationDrug Discovery	CodeCode Available	1
Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite Images	Aug 3, 2022	Building Damage AssessmentChange Detection	CodeCode Available	1
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction	Aug 2, 2022	DecoderDomain Adaptation	—Unverified	0
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation	Aug 2, 2022	Domain AdaptationPseudo Label	CodeCode Available	0
Few-shot Adaptation Works with UnpredicTable Data	Aug 1, 2022	Domain AdaptationFew-Shot Learning	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	CMKD	Accuracy	89	—	Unverified
5	PMTrans	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	DDA	Accuracy	88.9	—	Unverified
9	MEDM	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