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 2676–2700 of 6439 papers

Title	Date	Tasks	Status
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation	Jul 13, 2021	Domain AdaptationDomain Generalization	—Unverified
Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation	Jul 1, 2020	Domain Adaptation	—Unverified
From Fake to Hyperpartisan News Detection Using Domain Adaptation	Aug 4, 2023	ClusteringContrastive Learning	—Unverified
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks	May 11, 2018	Domain AdaptationVideo Recognition	—Unverified
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation	Aug 21, 2019	DecoderDomain Adaptation	—Unverified
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training	Jan 23, 2025	DisentanglementDomain Adaptation	—Unverified
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing	Nov 5, 2024	Change DetectionContrastive Learning	—Unverified
Exploiting Domain Transferability for Collaborative Inter-level Domain Adaptive Object Detection	Jul 20, 2022	Domain AdaptationObject	—Unverified
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images	Oct 15, 2024	Contrastive LearningDenoising	—Unverified
From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning	May 13, 2020	Autonomous DrivingDeep Reinforcement Learning	—Unverified
From source to target and back: symmetric bi-directional adaptive GAN	May 24, 2017	Domain AdaptationImage Generation	—Unverified
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation	Nov 25, 2021	Domain AdaptationTransfer Learning	—Unverified
Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers	Aug 1, 2021	Domain Adaptation	—Unverified
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer	Jun 1, 2020	Domain AdaptationRelation	—Unverified
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips	Oct 18, 2016	Action ClassificationData Augmentation	—Unverified
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example	Dec 29, 2016	Domain Adaptationvehicle detection	—Unverified
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots	Oct 31, 2024	Domain AdaptationKeypoint Detection	—Unverified
Conversational QA Dataset Generation with Answer Revision	Sep 23, 2022	Answer GenerationConversational Question Answering	—Unverified
Frustratingly Easy Neural Domain Adaptation	Dec 1, 2016	Domain Adaptation	—Unverified
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data	Jul 19, 2020	Domain AdaptationModel Selection	—Unverified
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation	Feb 9, 2024	Domain AdaptationSemantic Segmentation	—Unverified
Fully Convolutional Adaptation Networks for Semantic Segmentation	Apr 23, 2018	Domain AdaptationSemantic Segmentation	—Unverified
Explicit Domain Adaptation with Loosely Coupled Samples	Apr 24, 2020	Autonomous DrivingDomain Adaptation	—Unverified
Fully Test-Time rPPG Estimation via Synthetic Signal-Guided Feature Learning	Jul 18, 2024	Domain AdaptationDomain Generalization	—Unverified
Controlling Target Features in Neural Machine Translation via Prefix Constraints	Nov 1, 2017	Domain AdaptationMachine Translation	—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