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 5701–5725 of 6439 papers

Title	Date	Tasks	Status
Flow Graph Corpus from Recipe Texts	May 1, 2014	ARCcoreference-resolution	—Unverified
Fluid Annotation: A Granularity-aware Annotation Tool for Chinese Word Fluidity	May 1, 2018	Chinese Word SegmentationDomain Adaptation	—Unverified
Collaborative Multi-source Domain Adaptation Through Optimal Transport	Apr 9, 2024	Domain AdaptationFederated Learning	—Unverified
Focused training sets to reduce noise in NER feature models	Jun 1, 2013	Domain AdaptationNamed Entity Recognition (NER)	—Unverified
Focusing Annotation for Semantic Role Labeling	May 1, 2014	Active LearningDomain Adaptation	—Unverified
Focus on Semantic Consistency for Cross-domain Crowd Understanding	Feb 20, 2020	Domain Adaptation	—Unverified
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation	Mar 16, 2023	Domain AdaptationSemantic Segmentation	—Unverified
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes	Sep 6, 2024	Domain AdaptationImage Captioning	—Unverified
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection	Dec 6, 2018	Domain Adaptation	—Unverified
Frame-Semantic Role Labeling with Heterogeneous Annotations	Jul 1, 2015	Domain AdaptationSemantic Parsing	—Unverified
FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization	Jul 4, 2023	Domain AdaptationPhilosophy	—Unverified
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license	May 1, 2014	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation	Sep 14, 2018	DecoderDomain Adaptation	—Unverified
Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation	Apr 6, 2024	Domain AdaptationGenerative Adversarial Network	—Unverified
Frequency Dropout: Feature-Level Regularization via Randomized Filtering	Sep 20, 2022	Domain Adaptationimage-classification	—Unverified
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions	Jul 18, 2024	Domain AdaptationSegmentation	—Unverified
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning	May 28, 2021	DeepFake DetectionDomain Adaptation	—Unverified
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation	Dec 28, 2021	Domain AdaptationGenerative Adversarial Network	—Unverified
From Abstraction to Reality: DARPA's Vision for Robust Sim-to-Real Autonomy	Mar 14, 2025	Domain AdaptationImitation Learning	—Unverified
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks	Nov 30, 2022	Action RecognitionDomain Adaptation	—Unverified
From Big to Small: Adaptive Learning to Partial-Set Domains	Mar 14, 2022	Domain AdaptationPartial Domain Adaptation	—Unverified
From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration	May 28, 2025	AllContrastive Learning	—Unverified
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning	Mar 8, 2025	3D Object DetectionAutonomous Driving	—Unverified
From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios	Nov 7, 2024	Domain AdaptationMotor Imagery	—Unverified
From Fake to Hyperpartisan News Detection Using Domain Adaptation	Aug 4, 2023	ClusteringContrastive Learning	—Unverified

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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