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 3151–3175 of 6439 papers

Title	Date	Tasks	Status	Hype
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources	Nov 27, 2021	Domain AdaptationDomain Generalization	—Unverified	0
Towards Low-Cost and Efficient Malaria Detection	Nov 26, 2021	DiagnosticDomain Adaptation	CodeCode Available	0
Contrastive Vicinal Space for Unsupervised Domain Adaptation	Nov 26, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Clustering Effect of (Linearized) Adversarial Robust Models	Nov 25, 2021	Adversarial RobustnessClustering	CodeCode Available	0
Cross-Domain Adaptive Teacher for Object Detection	Nov 25, 2021	Data AugmentationDomain Adaptation	CodeCode Available	1
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation	Nov 25, 2021	Domain AdaptationTransfer Learning	—Unverified	0
Temporal Effects on Pre-trained Models for Language Processing Tasks	Nov 24, 2021	Domain AdaptationExperimental Design	CodeCode Available	0
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation	Nov 24, 2021	6D Pose Estimation using RGBDDomain Adaptation	—Unverified	0
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning	Nov 24, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	1
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation	Nov 24, 2021	Domain AdaptationOrgan Segmentation	CodeCode Available	1
Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs	Nov 23, 2021	Domain Adaptation	—Unverified	0
Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept	Nov 23, 2021	3D Pose EstimationDomain Adaptation	—Unverified	0
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification	Nov 23, 2021	Domain AdaptationPerson Re-Identification	CodeCode Available	1
Reinforcement Learning for Few-Shot Text Generation Adaptation	Nov 22, 2021	DiversityDomain Adaptation	CodeCode Available	0
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing	Nov 22, 2021	Domain Adaptation	—Unverified	0
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability	Nov 22, 2021	Domain AdaptationFederated Learning	—Unverified	0
Unsupervised Domain Adaptation for RF-based Gesture Recognition	Nov 20, 2021	Data AugmentationDomain Adaptation	—Unverified	0
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification	Nov 19, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Deep Domain Adaptation for Pavement Crack Detection	Nov 19, 2021	Domain Adaptation	—Unverified	0
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning	Nov 18, 2021	Domain AdaptationEmotion Recognition	—Unverified	0
Boosting Supervised Learning Performance with Co-training	Nov 18, 2021	Domain Adaptationobject-detection	—Unverified	0
One-Shot Generative Domain Adaptation	Nov 18, 2021	AttributeDiversity	—Unverified	0
Merging Models with Fisher-Weighted Averaging	Nov 18, 2021	Domain AdaptationMulti-task Language Understanding	CodeCode Available	1
Edge-preserving Domain Adaptation for semantic segmentation of Medical Images	Nov 18, 2021	Domain AdaptationSegmentation	—Unverified	0
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation	Nov 17, 2021	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	1

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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