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 3976–4000 of 6439 papers

Title	Date	Tasks	Status	Hype
Cross-domain Activity Recognition via Substructural Optimal Transport	Jan 29, 2021	Activity RecognitionClustering	—Unverified	0
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning	Jan 29, 2021	Domain AdaptationGrammatical Error Correction	—Unverified	0
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency	Jan 29, 2021	Domain AdaptationSemi-supervised Domain Adaptation	CodeCode Available	0
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification	Jan 29, 2021	Domain AdaptationPerson Re-Identification	—Unverified	0
Domain Adaptation by Topology Regularization	Jan 28, 2021	Domain AdaptationTopological Data Analysis	—Unverified	0
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation	Jan 26, 2021	Domain AdaptationImage-to-Image Translation	CodeCode Available	1
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets	Jan 25, 2021	Domain AdaptationSentiment Analysis	—Unverified	0
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation	Jan 25, 2021	Domain Adaptation	—Unverified	0
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data	Jan 20, 2021	Domain AdaptationFeature Engineering	—Unverified	0
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering	Jan 20, 2021	dialog state trackingDomain Adaptation	—Unverified	0
Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics	Jan 19, 2021	Domain AdaptationSource-Free Domain Adaptation	—Unverified	0
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks	Jan 19, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains	Jan 18, 2021	Domain Adaptationimage-classification	—Unverified	0
Magnification Generalization for Histopathology Image Embedding	Jan 18, 2021	Breast Cancer Histology Image ClassificationClassification Of Breast Cancer Histology Images	CodeCode Available	0
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation	Jan 18, 2021	Domain AdaptationImage Segmentation	—Unverified	0
Studying Catastrophic Forgetting in Neural Ranking Models	Jan 18, 2021	Domain AdaptationLifelong learning	CodeCode Available	0
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation	Jan 18, 2021	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1
Model Compression for Domain Adaptation through Causal Effect Estimation	Jan 18, 2021	Domain AdaptationModel Compression	CodeCode Available	0
Adversarial Attacks On Multi-Agent Communication	Jan 17, 2021	Domain Adaptation	—Unverified	0
Predictive Optimization with Zero-Shot Domain Adaptation	Jan 15, 2021	Domain AdaptationPrediction	—Unverified	0
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data	Jan 15, 2021	Adversarial RobustnessContinual Learning	—Unverified	0
Motion-Based Handwriting Recognition and Word Reconstruction	Jan 15, 2021	Domain AdaptationHandwriting Recognition	CodeCode Available	0
DAIL: Dataset-Aware and Invariant Learning for Face Recognition	Jan 14, 2021	Domain AdaptationFace Recognition	—Unverified	0
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records	Jan 13, 2021	Data AugmentationDomain Adaptation	—Unverified	0
Learning to Ignore: Fair and Task Independent Representations	Jan 11, 2021	AttributeDomain 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