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 651–675 of 6439 papers

Title	Date	Tasks	Status	Hype
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization	Dec 21, 2021	Domain AdaptationDomain Generalization	CodeCode Available	1
Tell me what you see: A zero-shot action recognition method based on natural language descriptions	Dec 18, 2021	Action RecognitionDescriptive	CodeCode Available	1
Domain Adaptation on Point Clouds via Geometry-Aware Implicits	Dec 17, 2021	Autonomous DrivingDomain Adaptation	CodeCode Available	1
Efficient Hierarchical Domain Adaptation for Pretrained Language Models	Dec 16, 2021	Domain AdaptationLanguage Modeling	CodeCode Available	1
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval	Dec 14, 2021	Domain AdaptationRetrieval	CodeCode Available	1
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation	Dec 9, 2021	Domain AdaptationOne-shot Unsupervised Domain Adaptation	CodeCode Available	1
Do Pedestrians Pay Attention? Eye Contact Detection in the Wild	Dec 8, 2021	Autonomous VehiclesContact Detection	CodeCode Available	1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning	Dec 6, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
No-Reference Point Cloud Quality Assessment via Domain Adaptation	Dec 6, 2021	Domain AdaptationPoint Cloud Quality Assessment	CodeCode Available	1
SGM3D: Stereo Guided Monocular 3D Object Detection	Dec 3, 2021	3D Object DetectionAutonomous Driving	CodeCode Available	1
Active Learning for Domain Adaptation: An Energy-Based Approach	Dec 2, 2021	Active LearningDomain Adaptation	CodeCode Available	1
MultiVerS: Improving scientific claim verification with weak supervision and full-document context	Dec 2, 2021	Claim VerificationDomain Adaptation	CodeCode Available	1
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization	Dec 1, 2021	Autonomous DrivingDomain Adaptation	CodeCode Available	1
Confident Anchor-Induced Multi-Source Free Domain Adaptation	Dec 1, 2021	Domain AdaptationPseudo Label	CodeCode Available	1
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning	Dec 1, 2021	Domain AdaptationMuJoCo	CodeCode Available	1
Adversarial Reweighting for Partial Domain Adaptation	Dec 1, 2021	Domain AdaptationPartial Domain Adaptation	CodeCode Available	1
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience	Dec 1, 2021	Domain Adaptation	CodeCode Available	1
Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation	Dec 1, 2021	Domain AdaptationPseudo Label	CodeCode Available	1
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?	Dec 1, 2021	Domain AdaptationRepresentation Learning	CodeCode Available	1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection	Nov 30, 2021	3D Object DetectionDomain Adaptation	CodeCode Available	1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning	Nov 30, 2021	3D Human Pose EstimationCamera Calibration	CodeCode Available	1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation	Nov 29, 2021	Domain AdaptationImage-to-Image Translation	CodeCode Available	1
Self-supervised Autoregressive Domain Adaptation for Time Series Data	Nov 29, 2021	Domain AdaptationSelf-Supervised Learning	CodeCode Available	1
Contrastive Vicinal Space for Unsupervised Domain Adaptation	Nov 26, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Cross-Domain Adaptive Teacher for Object Detection	Nov 25, 2021	Data AugmentationDomain 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