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 1676–1700 of 6439 papers

Title	Date	Tasks	Status	Score
Cross-view Semantic Segmentation for Sensing Surroundings	Jun 9, 2019	Domain AdaptationSemantic Segmentation	CodeCode Available	5
A Visual Active Search Framework for Geospatial Exploration	Nov 28, 2022	Domain Adaptation	CodeCode Available	5
Aggregating From Multiple Target-Shifted Sources	May 9, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
Cartoon Face Recognition: A Benchmark Dataset	Jul 31, 2019	Domain AdaptationFace Detection	CodeCode Available	5
Activation Regression for Continuous Domain Generalization with Applications to Crop Classification	Apr 14, 2022	Crop ClassificationDomain Adaptation	CodeCode Available	5
Bridge then Begin Anew: Generating Target-relevant Intermediate Model for Source-free Visual Emotion Adaptation	Dec 18, 2024	Domain AdaptationEmotion Recognition	CodeCode Available	5
Feature Distribution Matching for Federated Domain Generalization	Mar 22, 2022	Domain AdaptationDomain Generalization	CodeCode Available	5
CrossTrainer: Practical Domain Adaptation with Loss Reweighting	May 7, 2019	Domain Adaptation	CodeCode Available	5
Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks	Feb 25, 2021	Domain Adaptation	CodeCode Available	5
AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain	Apr 28, 2023	Deep ClusteringDomain Adaptation	CodeCode Available	5
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions	Jun 1, 2022	counterfactualDomain Adaptation	CodeCode Available	5
Implicit Semantic Response Alignment for Partial Domain Adaptation	Dec 1, 2021	Domain AdaptationPartial Domain Adaptation	CodeCode Available	5
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image	Feb 5, 2024	Domain Adaptation	CodeCode Available	5
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation	Feb 9, 2024	Domain AdaptationKnowledge Distillation	CodeCode Available	5
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?	Aug 1, 2021	Domain AdaptationHallucination	CodeCode Available	5
Bridging Domains with Approximately Shared Features	Mar 11, 2024	Domain Adaptationfeature selection	CodeCode Available	5
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation	Jun 7, 2019	AttributeDomain Adaptation	CodeCode Available	5
Unsupervised Domain Adaptation for Cross-sensor Pore Detection in High-resolution Fingerprint Images	Aug 28, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
Autonomous Cross Domain Adaptation under Extreme Label Scarcity	Sep 4, 2022	ClusteringDeep Clustering	CodeCode Available	5
Cross-Region Building Counting in Satellite Imagery using Counting Consistency	Oct 26, 2021	Domain AdaptationManagement	CodeCode Available	5
Homeomorphism Alignment for Unsupervised Domain Adaptation	Jan 1, 2023	Domain AdaptationPseudo Label	CodeCode Available	5
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery	Aug 2, 2024	Binary ClassificationBrain Computer Interface	CodeCode Available	5
Automatic Online Multi-Source Domain Adaptation	Sep 5, 2021	DenoisingDomain Adaptation	CodeCode Available	5
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis	Jul 23, 2021	DiagnosticDomain Adaptation	CodeCode Available	5
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification	Apr 26, 2018	ClassificationCross-Domain Text Classification	CodeCode Available	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