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 176–200 of 6439 papers

Title	Date	Tasks	Status	Hype	Score
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation	Mar 29, 2021	Domain AdaptationScene Segmentation	CodeCode Available	1	5
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings	Oct 16, 2020	Active LearningClustering	CodeCode Available	1	5
A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint Recognition	May 25, 2020	Data AugmentationDomain Adaptation	CodeCode Available	1	5
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain Knowledge	Jun 1, 2020	Active LearningDomain Adaptation	CodeCode Available	1	5
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation	Sep 13, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1	5
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability	May 17, 2024	AttributeDomain Adaptation	CodeCode Available	1	5
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition	Mar 23, 2023	Action RecognitionDomain Adaptation	CodeCode Available	1	5
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training	Aug 5, 2024	Domain AdaptationKnowledge Distillation	CodeCode Available	1	5
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge	Sep 23, 2019	Active LearningDomain Adaptation	CodeCode Available	1	5
Active Learning for Domain Adaptation: An Energy-Based Approach	Dec 2, 2021	Active LearningDomain Adaptation	CodeCode Available	1	5
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation	Jul 17, 2020	Domain AdaptationImage-to-Image Translation	CodeCode Available	1	5
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal	Oct 27, 2023	AllDomain Adaptation	CodeCode Available	1	5
Adaptive Machine Translation with Large Language Models	Jan 30, 2023	DecoderDomain Adaptation	CodeCode Available	1	5
Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather	May 18, 2025	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training	Oct 3, 2022	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	1	5
Learning Robust Global Representations by Penalizing Local Predictive Power	May 29, 2019	Domain AdaptationDomain Generalization	CodeCode Available	1	5
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation	Jul 10, 2021	AnatomyDomain Adaptation	CodeCode Available	1	5
Affinity Space Adaptation for Semantic Segmentation Across Domains	Sep 26, 2020	Domain AdaptationSegmentation	CodeCode Available	1	5
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration	Jul 18, 2022	Domain AdaptationUnsupervised 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
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information	Jun 22, 2020	Domain Adaptation	CodeCode Available	1	5
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection	Apr 1, 2022	Change DetectionChange detection for remote sensing images	CodeCode Available	1	5
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
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift	May 25, 2021	Domain AdaptationFew-Shot Learning	CodeCode Available	1	5
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks	Jun 5, 2021	Contrastive LearningDomain Adaptation	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	CMKD	Accuracy	89	—	Unverified
5	PMTrans	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	DDA	Accuracy	88.9	—	Unverified
9	MEDM	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