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 2701–2725 of 6439 papers

Title	Date	Tasks	Status	Hype
Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data	Jun 1, 2022	De-identificationDomain Adaptation	—Unverified	0
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications	Jun 1, 2022	Dependency ParsingDomain Adaptation	CodeCode Available	0
Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization	Jun 1, 2022	Abstractive Text SummarizationDomain Adaptation	CodeCode Available	0
Domain Adaptation for Deep Entity Resolution: A Design Space Exploration	Jun 1, 2022	Data IntegrationDomain Adaptation	CodeCode Available	1
CLIP4IDC: CLIP for Image Difference Captioning	Jun 1, 2022	Domain AdaptationImage Classification	CodeCode Available	1
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation	Jun 1, 2022	Domain AdaptationTest-time Adaptation	—Unverified	0
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection	Jun 1, 2022	Domain AdaptationSemantic Segmentation	—Unverified	0
A Unified Multi-Task Semantic Communication System with Domain Adaptation	Jun 1, 2022	Domain AdaptationSemantic Communication	—Unverified	0
Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment	Jun 1, 2022	Domain Adaptationobject-detection	—Unverified	0
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions	Jun 1, 2022	counterfactualDomain Adaptation	CodeCode Available	0
Domain Adaptation for Neural Machine Translation	Jun 1, 2022	Domain AdaptationMachine Translation	—Unverified	0
Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies	Jun 1, 2022	Domain AdaptationMachine Translation	—Unverified	0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars	Jun 1, 2022	Domain AdaptationMachine Translation	—Unverified	0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models	May 31, 2022	Autonomous DrivingDomain Adaptation	CodeCode Available	0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification	May 31, 2022	ClassificationDomain Adaptation	—Unverified	0
Variational Transfer Learning using Cross-Domain Latent Modulation	May 31, 2022	Domain AdaptationImage-to-Image Translation	—Unverified	0
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation	May 30, 2022	Domain AdaptationImage Reconstruction	—Unverified	0
Connecting adversarial attacks and optimal transport for domain adaptation	May 30, 2022	Domain Adaptation	—Unverified	0
Prompt-aligned Gradient for Prompt Tuning	May 30, 2022	Domain AdaptationFew-Shot Learning	CodeCode Available	1
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift	May 30, 2022	Domain Adaptationdomain classification	CodeCode Available	0
Unbalanced CO-Optimal Transport	May 30, 2022	Domain Adaptation	—Unverified	0
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation	May 29, 2022	Domain AdaptationObject Recognition	CodeCode Available	1
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors	May 28, 2022	Domain AdaptationKnowledge Distillation	CodeCode Available	1
Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning	May 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Deep face recognition with clustering based domain adaptation	May 27, 2022	ClusteringDomain Adaptation	—Unverified	0

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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