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 1551–1575 of 6439 papers

Title	Date	Tasks	Status	Hype
Understanding Video Scenes through Text: Insights from Text-based Video Question Answering	Sep 4, 2023	Domain AdaptationQuestion Answering	—Unverified	0
Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation	Sep 4, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation	Sep 4, 2023	Domain AdaptationImage-to-Image Translation	—Unverified	0
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detection	Sep 3, 2023	Domain Adaptationobject-detection	CodeCode Available	1
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering	Sep 3, 2023	Data AugmentationDomain Adaptation	CodeCode Available	3
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation	Sep 3, 2023	Domain AdaptationSensitivity	CodeCode Available	0
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior	Sep 1, 2023	Domain Adaptation	—Unverified	0
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering	Sep 1, 2023	ClusteringDomain Adaptation	—Unverified	0
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition	Aug 31, 2023	Domain AdaptationGraph Neural Network	CodeCode Available	1
Interpreting Sentiment Composition with Latent Semantic Tree	Aug 31, 2023	ClassificationDomain Adaptation	CodeCode Available	0
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation	Aug 31, 2023	Autonomous DrivingDomain Adaptation	CodeCode Available	0
Domain-adaptive Message Passing Graph Neural Network	Aug 31, 2023	Domain AdaptationGRAPH DOMAIN ADAPTATION	CodeCode Available	0
IIDM: Inter and Intra-domain Mixing for Semi-supervised Domain Adaptation in Semantic Segmentation	Aug 30, 2023	Domain AdaptationSemantic Segmentation	—Unverified	0
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection	Aug 29, 2023	Domain Adaptationobject-detection	CodeCode Available	1
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation	Aug 29, 2023	Domain AdaptationEnsemble Learning	—Unverified	0
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics	Aug 28, 2023	counterfactualDomain Adaptation	CodeCode Available	1
Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation	Aug 28, 2023	Domain AdaptationImage Segmentation	—Unverified	0
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation	Aug 28, 2023	Domain AdaptationPoint Cloud Completion	CodeCode Available	1
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation	Aug 27, 2023	Contrastive LearningDomain Adaptation	—Unverified	0
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation	Aug 27, 2023	DisentanglementDomain Adaptation	—Unverified	0
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion	Aug 26, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport	Aug 26, 2023	Density EstimationDomain Adaptation	—Unverified	0
Prior-guided Source-free Domain Adaptation for Human Pose Estimation	Aug 26, 2023	2D Human Pose EstimationDomain Adaptation	—Unverified	0
Robust Core-Periphery Constrained Transformer for Domain Adaptation	Aug 25, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory	Aug 25, 2023	Domain Adaptationimage-classification	CodeCode Available	0

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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