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 3476–3500 of 6439 papers

Title	Date	Tasks	Status
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations	Apr 1, 2022	Domain AdaptationMeta-Learning	CodeCode Available
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation	Apr 1, 2022	Contrastive LearningDomain Adaptation	—Unverified
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?	Mar 31, 2022	Domain AdaptationGPU	—Unverified
Partial Coupling of Optimal Transport for Spoken Language Identification	Mar 31, 2022	Domain AdaptationLanguage Identification	—Unverified
PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech Representations	Mar 31, 2022	Domain AdaptationLanguage Modelling	CodeCode Available
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation	Mar 31, 2022	3D Object DetectionDomain Adaptation	—Unverified
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video	Mar 30, 2022	Action RecognitionDomain Adaptation	CodeCode Available
Learning Instance-Specific Adaptation for Cross-Domain Segmentation	Mar 30, 2022	Data AugmentationDomain Adaptation	—Unverified
Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation	Mar 30, 2022	Domain Adaptation	—Unverified
Federated Domain Adaptation for ASR with Full Self-Supervision	Mar 30, 2022	Automatic Speech Recognition (ASR)Data Augmentation	—Unverified
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training	Mar 30, 2022	Domain AdaptationImage Segmentation	—Unverified
Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification	Mar 30, 2022	Bandwidth ExtensionDomain Adaptation	—Unverified
Domain Invariant Siamese Attention Mask for Small Object Change Detection via Everyday Indoor Robot Navigation	Mar 29, 2022	Change DetectionDomain Adaptation	—Unverified
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets	Mar 29, 2022	Causal InferenceDomain Adaptation	CodeCode Available
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation	Mar 29, 2022	3D Human Pose EstimationDomain Adaptation	—Unverified
RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging	Mar 28, 2022	Domain AdaptationKnowledge Distillation	—Unverified
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency	Mar 28, 2022	Computed Tomography (CT)CT Reconstruction	—Unverified
Style-Guided Domain Adaptation for Face Presentation Attack Detection	Mar 28, 2022	Domain AdaptationDomain Generalization	—Unverified
Example-based Hypernetworks for Out-of-Distribution Generalization	Mar 27, 2022	DecoderDomain Adaptation	CodeCode Available
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation	Mar 26, 2022	Domain AdaptationImage Segmentation	—Unverified
Learn to Adapt for Monocular Depth Estimation	Mar 26, 2022	Depth EstimationDomain Adaptation	—Unverified
Towards Backwards-Compatible Data with Confounded Domain Adaptation	Mar 23, 2022	Domain Adaptation	CodeCode Available
Feature Distribution Matching for Federated Domain Generalization	Mar 22, 2022	Domain AdaptationDomain Generalization	CodeCode Available
Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation	Mar 21, 2022	Domain AdaptationSpeaker Verification	—Unverified
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error	Mar 21, 2022	Discourse ParsingDomain Adaptation	CodeCode Available

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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