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 2201–2225 of 6439 papers

Title	Date	Tasks	Status	Hype
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation	Dec 6, 2022	Domain AdaptationPseudo Label	CodeCode Available	0
Union-set Multi-source Model Adaptation for Semantic Segmentation	Dec 6, 2022	Domain AdaptationSemantic Segmentation	CodeCode Available	1
PØDA: Prompt-driven Zero-shot Domain Adaptation	Dec 6, 2022	Domain Adaptationimage-classification	CodeCode Available	1
Addressing Distribution Shift at Test Time in Pre-trained Language Models	Dec 5, 2022	Data AugmentationDomain Adaptation	—Unverified	0
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight	Dec 5, 2022	Activity RecognitionDomain Adaptation	—Unverified	0
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation	Dec 5, 2022	Contrastive LearningCross-Domain Few-Shot	—Unverified	0
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation	Dec 5, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection	Dec 5, 2022	3D Object Detectionclass-incremental learning	—Unverified	0
Towards Scene Understanding for Autonomous Operations on Airport Aprons	Dec 4, 2022	Autonomous DrivingBenchmarking	CodeCode Available	1
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey	Dec 4, 2022	Domain AdaptationDomain Generalization	—Unverified	0
Contrastive Domain Adaptation for Time-Series via Temporal Mixup	Dec 3, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation	Dec 3, 2022	Domain Adaptationdomain classification	—Unverified	0
Continual Learning for On-Device Speech Recognition using Disentangled Conformers	Dec 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning	Dec 2, 2022	Domain AdaptationPrompt Learning	CodeCode Available	1
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation	Dec 2, 2022	Domain Adaptationimage-classification	CodeCode Available	2
Geometry-Aware Network for Domain Adaptive Semantic Segmentation	Dec 2, 2022	Depth EstimationDepth Prediction	—Unverified	0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems	Dec 2, 2022	Domain AdaptationEmotion Recognition	—Unverified	0
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation	Dec 2, 2022	Domain AdaptationObject	—Unverified	0
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment	Dec 2, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection	Dec 1, 2022	Domain AdaptationPseudo Label	CodeCode Available	1
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars	Dec 1, 2022	Domain AdaptationScene Segmentation	—Unverified	0
Multi-Source Survival Domain Adaptation	Dec 1, 2022	Domain AdaptationSurvival Analysis	CodeCode Available	0
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training	Nov 30, 2022	AnatomyComputed Tomography (CT)	CodeCode Available	0
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection	Nov 30, 2022	3D Object DetectionAutonomous Driving	—Unverified	0
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks	Nov 30, 2022	Action RecognitionDomain Adaptation	—Unverified	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