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 3076–3100 of 6439 papers

Title	Date	Tasks	Status	Hype
Disentanglement by Cyclic Reconstruction	Dec 24, 2021	DisentanglementDomain Adaptation	CodeCode Available	0
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization	Dec 22, 2021	Abstractive Text SummarizationDomain Adaptation	CodeCode Available	0
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization	Dec 21, 2021	Domain AdaptationDomain Generalization	CodeCode Available	1
Pre-Training Transformers for Domain Adaptation	Dec 18, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Tell me what you see: A zero-shot action recognition method based on natural language descriptions	Dec 18, 2021	Action RecognitionDescriptive	CodeCode Available	1
Domain Adaptation on Point Clouds via Geometry-Aware Implicits	Dec 17, 2021	Autonomous DrivingDomain Adaptation	CodeCode Available	1
Efficient Hierarchical Domain Adaptation for Pretrained Language Models	Dec 16, 2021	Domain AdaptationLanguage Modeling	CodeCode Available	1
UMAD: Universal Model Adaptation under Domain and Category Shift	Dec 16, 2021	Domain AdaptationUniversal Domain Adaptation	—Unverified	0
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning	Dec 16, 2021	Domain AdaptationImage-to-Image Translation	—Unverified	0
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems	Dec 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Improving Both Domain Robustness and Domain Adaptability in Machine Translation	Dec 15, 2021	Domain AdaptationMachine Translation	CodeCode Available	0
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing	Dec 14, 2021	AMR ParsingData Augmentation	CodeCode Available	0
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval	Dec 14, 2021	Domain AdaptationRetrieval	CodeCode Available	1
Transferrable Contrastive Learning for Visual Domain Adaptation	Dec 14, 2021	Contrastive LearningDomain Adaptation	—Unverified	0
Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains	Dec 13, 2021	Domain AdaptationImage Quality Assessment	—Unverified	0
A Survey of Unsupervised Domain Adaptation for Visual Recognition	Dec 13, 2021	Domain AdaptationSurvey	—Unverified	0
Semi-supervised Domain Adaptive Structure Learning	Dec 12, 2021	Domain AdaptationRepresentation Learning	CodeCode Available	0
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis	Dec 11, 2021	Domain AdaptationFault Diagnosis	—Unverified	0
Self-Ensemling for 3D Point Cloud Domain Adaption	Dec 10, 2021	Autonomous DrivingDomain Adaptation	—Unverified	0
Unsupervised JPEG Domain Adaptation for Practical Digital Image Forensics	Dec 9, 2021	Domain AdaptationImage Forensics	CodeCode Available	0
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach	Dec 9, 2021	Domain AdaptationStereo Matching	—Unverified	0
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation	Dec 9, 2021	Domain AdaptationOne-shot Unsupervised Domain Adaptation	CodeCode Available	1
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation	Dec 9, 2021	BinarizationDomain Adaptation	CodeCode Available	0
A cross-domain recommender system using deep coupled autoencoders	Dec 8, 2021	Domain AdaptationRecommendation Systems	—Unverified	0
Burn After Reading: Online Adaptation for Cross-domain Streaming Data	Dec 8, 2021	DiversityDomain 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