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 3026–3050 of 6439 papers

Title	Date	Tasks	Status	Hype
Improving both domain robustness and domain adaptability in machine translation	Jan 16, 2022	Domain AdaptationMachine Translation	—Unverified	0
Efficient Machine Translation Domain Adaptation	Jan 16, 2022	Domain AdaptationLanguage Modeling	—Unverified	0
Efficient Hierarchical Domain Adaptation for Pretrained Language Models	Jan 16, 2022	Domain AdaptationLanguage Modeling	—Unverified	0
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning	Jan 16, 2022	Domain AdaptationRecommendation Systems	—Unverified	0
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation	Jan 16, 2022	Domain Adaptation	CodeCode Available	1
Robust Scatterer Number Density Segmentation of Ultrasound Images	Jan 16, 2022	Domain AdaptationMulti-Task Learning	—Unverified	0
Domain Adaptation via Bidirectional Cross-Attention Transformer	Jan 15, 2022	Domain Adaptation	—Unverified	0
Deep Optimal Transport for Domain Adaptation on SPD Manifolds	Jan 15, 2022	Brain Computer InterfaceDomain Adaptation	CodeCode Available	0
Transferability in Deep Learning: A Survey	Jan 15, 2022	Deep LearningDomain Adaptation	—Unverified	0
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization	Jan 15, 2022	Domain Adaptation	—Unverified	0
The Dark Side of the Language: Pre-trained Transformers in the DarkNet	Jan 14, 2022	Domain AdaptationLanguage Modeling	—Unverified	0
Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning	Jan 14, 2022	Domain AdaptationImage-to-Image Translation	—Unverified	0
Cost-Effective Training in Low-Resource Neural Machine Translation	Jan 14, 2022	Active LearningDomain Adaptation	—Unverified	0
Domain-shift adaptation via linear transformations	Jan 14, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning	Jan 13, 2022	Domain AdaptationImage Reconstruction	CodeCode Available	1
Self-semantic contour adaptation for cross modality brain tumor segmentation	Jan 13, 2022	Brain Tumor SegmentationDomain Adaptation	—Unverified	0
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation	Jan 12, 2022	Depth EstimationDomain Adaptation	—Unverified	0
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning	Jan 11, 2022	Contrastive LearningDictionary Learning	—Unverified	0
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift	Jan 11, 2022	Domain Adaptationregression	—Unverified	0
A Likelihood Ratio based Domain Adaptation Method for E2E Models	Jan 10, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Preserving Domain Private Representation via Mutual Information Maximization	Jan 9, 2022	Domain AdaptationDomain Generalization	—Unverified	0
Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detection	Jan 9, 2022	Binary ClassificationDomain Adaptation	CodeCode Available	1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation	Jan 8, 2022	Brain SegmentationDomain Adaptation	CodeCode Available	1
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images	Jan 7, 2022	Domain AdaptationFoggy Scene Segmentation	—Unverified	0
Deep Domain Adversarial Adaptation for Photon-efficient Imaging	Jan 7, 2022	Domain Adaptation	CodeCode Available	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