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 301–325 of 6439 papers

Title	Date	Tasks	Status	Hype	Score
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation	Mar 16, 2023	Domain Adaptationimage-classification	CodeCode Available	1	5
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition	Jul 20, 2022	3D Action RecognitionAction Recognition	CodeCode Available	1	5
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling	Sep 19, 2022	Depth EstimationDomain Adaptation	CodeCode Available	1	5
Adversarial Reweighting for Partial Domain Adaptation	Dec 1, 2021	Domain AdaptationPartial Domain Adaptation	CodeCode Available	1	5
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?	Nov 17, 2019	Data SummarizationDomain Adaptation	CodeCode Available	1	5
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning	May 2, 2025	Crop Yield PredictionDomain Adaptation	CodeCode Available	1	5
Collaborative Perception Datasets for Autonomous Driving: A Review	Apr 17, 2025	Autonomous DrivingDomain Adaptation	CodeCode Available	1	5
Continuously Indexed Domain Adaptation	Jul 3, 2020	Continuously Indexed Domain AdaptationDomain Adaptation	CodeCode Available	1	5
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models	Feb 27, 2022	Domain Adaptation	CodeCode Available	1	5
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood Forecasting	Jun 16, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1	5
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation	Apr 13, 2020	Domain Adaptationdomain classification	CodeCode Available	1	5
A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation	Aug 17, 2023	Domain AdaptationSelf-Supervised Learning	CodeCode Available	1	5
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures	Aug 18, 2022	AnatomyContrastive Learning	CodeCode Available	1	5
Contrastive Test-Time Adaptation	Apr 21, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection	Sep 17, 2020	Domain AdaptationGeneral Classification	CodeCode Available	1	5
Controlling Directions Orthogonal to a Classifier	Jan 27, 2022	Domain AdaptationFairness	CodeCode Available	1	5
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving	Dec 6, 2024	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models	Feb 20, 2025	Domain Adaptation	CodeCode Available	1	5
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency	Jun 16, 2022	Domain AdaptationObject Recognition	CodeCode Available	1	5
Learning Robust Global Representations by Penalizing Local Predictive Power	May 29, 2019	Domain AdaptationDomain Generalization	CodeCode Available	1	5
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts	Jul 1, 2022	Domain AdaptationImage Registration	CodeCode Available	1	5
Adversarial Weighting for Domain Adaptation in Regression	Jun 15, 2020	Domain Adaptationregression	CodeCode Available	1	5
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond	Jun 11, 2020	ClusteringDomain Adaptation	CodeCode Available	1	5
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection	Nov 30, 2021	3D Object DetectionDomain Adaptation	CodeCode Available	1	5
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation	Mar 15, 2021	Domain AdaptationImage Segmentation	CodeCode Available	1	5

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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