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 2626–2650 of 6439 papers

Title	Date	Tasks	Status	Hype
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction	Jul 1, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	0
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation	Jul 1, 2022	Domain AdaptationLifelong learning	—Unverified	0
Unsupervised Domain Adaptation for Question Generation with DomainData Selection and Self-training	Jul 1, 2022	Domain AdaptationQuestion Generation	—Unverified	0
Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-Extraction	Jul 1, 2022	Data AugmentationDomain Adaptation	CodeCode Available	1
FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification Systems	Jul 1, 2022	Domain AdaptationFairness	CodeCode Available	0
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts	Jul 1, 2022	Domain AdaptationImage Registration	CodeCode Available	1
Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models	Jul 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification	Jun 30, 2022	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available	1
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation	Jun 30, 2022	Domain AdaptationSemantic Segmentation	CodeCode Available	2
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration	Jun 30, 2022	Domain AdaptationInstance Segmentation	—Unverified	0
STOP: A dataset for Spoken Task Oriented Semantic Parsing	Jun 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation	Jun 29, 2022	Domain AdaptationPrognosis	CodeCode Available	1
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment	Jun 28, 2022	Domain Adaptationimage-classification	CodeCode Available	1
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification	Jun 27, 2022	DisentanglementDomain Adaptation	—Unverified	0
Learning with Weak Annotations for Robust Maritime Obstacle Detection	Jun 27, 2022	Collision AvoidanceDomain Adaptation	CodeCode Available	1
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation	Jun 24, 2022	Domain AdaptationOnline unsupervised domain adaptation	—Unverified	0
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI	Jun 24, 2022	Domain AdaptationTransfer Learning	—Unverified	0
Gradual Domain Adaptation via Normalizing Flows	Jun 23, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need	Jun 23, 2022	AllDeep Learning	CodeCode Available	1
Measuring the Feasibility of Analogical Transfer using Complexity	Jun 23, 2022	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
A Simple Baseline for Domain Adaptation in End to End ASR Systems Using Synthetic Data	Jun 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation	Jun 22, 2022	Domain Adaptation	—Unverified	0
Multi-level Domain Adaptation for Lane Detection	Jun 21, 2022	Autonomous DrivingDomain Adaptation	—Unverified	0
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery	Jun 21, 2022	Data AugmentationDomain Adaptation	CodeCode Available	1
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning	Jun 21, 2022	Contrastive LearningDomain Adaptation	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