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 751–775 of 6439 papers

Title	Date	Tasks	Status	Hype
Learning Transferable Parameters for Unsupervised Domain Adaptation	Aug 13, 2021	Domain Adaptationimage-classification	CodeCode Available	1
Dual Path Learning for Domain Adaptation of Semantic Segmentation	Aug 13, 2021	Domain AdaptationImage-to-Image Translation	CodeCode Available	1
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange	Aug 13, 2021	Domain AdaptationSegmentation	CodeCode Available	1
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation	Aug 12, 2021	Domain AdaptationTransfer Learning	CodeCode Available	1
Semantic Concentration for Domain Adaptation	Aug 12, 2021	Domain AdaptationTransfer Learning	CodeCode Available	1
Zero-Shot Day-Night Domain Adaptation with a Physics Prior	Aug 11, 2021	Domain AdaptationImage Retrieval	CodeCode Available	1
Context-Aware Mixup for Domain Adaptive Semantic Segmentation	Aug 8, 2021	Domain AdaptationImage-to-Image Translation	CodeCode Available	1
Source-Free Domain Adaptation for Image Segmentation	Aug 6, 2021	Cardiac SegmentationDomain Adaptation	CodeCode Available	1
Generalized Source-free Domain Adaptation	Aug 3, 2021	Domain AdaptationSource-Free Domain Adaptation	CodeCode Available	1
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators	Aug 2, 2021	Domain AdaptationImage Manipulation	CodeCode Available	1
Few-Shot Domain Adaptation For End-to-End Communication	Aug 2, 2021	DecoderDomain Adaptation	CodeCode Available	1
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation	Aug 1, 2021	Domain AdaptationTime Series Forecasting	CodeCode Available	1
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation	Jul 30, 2021	3D Semantic SegmentationDomain Adaptation	CodeCode Available	1
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation	Jul 30, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation	Jul 29, 2021	Domain AdaptationHallucination	CodeCode Available	1
Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation	Jul 29, 2021	Domain AdaptationGaze Estimation	CodeCode Available	1
SimROD: A Simple Adaptation Method for Robust Object Detection	Jul 28, 2021	Domain AdaptationObject	CodeCode Available	1
Unsupervised Monocular Depth Estimation in Highly Complex Environments	Jul 28, 2021	Depth EstimationDomain Adaptation	CodeCode Available	1
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers	Jul 27, 2021	DecoderDomain Adaptation	CodeCode Available	1
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation	Jul 27, 2021	ClusteringDeep Clustering	CodeCode Available	1
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification	Jul 26, 2021	Domain AdaptationFew-Shot Text Classification	CodeCode Available	1
Transferable Dialogue Systems and User Simulators	Jul 25, 2021	Domain AdaptationTransfer Learning	CodeCode Available	1
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation	Jul 23, 2021	Domain AdaptationFew-Shot Learning	CodeCode Available	1
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data	Jul 23, 2021	BIG-bench Machine LearningDomain Adaptation	CodeCode Available	1
Transporting Causal Mechanisms for Unsupervised Domain Adaptation	Jul 23, 2021	Domain AdaptationUnsupervised 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