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 4551–4575 of 6439 papers

Title	Date	Tasks	Status	Hype
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation	Jun 9, 2020	Domain AdaptationPseudo Label	CodeCode Available	1
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection	Jun 8, 2020	3D Object DetectionDomain Adaptation	—Unverified	0
Adversarial Feature Desensitization	Jun 8, 2020	Adversarial RobustnessDomain Adaptation	CodeCode Available	0
Unsupervised Transfer Learning with Self-Supervised Remedy	Jun 8, 2020	ClusteringDomain Adaptation	—Unverified	0
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression	Jun 7, 2020	Domain AdaptationKnowledge Distillation	—Unverified	0
Anomaly Detection with Domain Adaptation	Jun 5, 2020	Anomaly DetectionDomain Adaptation	—Unverified	0
Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks	Jun 5, 2020	Domain AdaptationSemantic Segmentation	—Unverified	0
Network Together: Node Classification via Cross-Network Deep Network Embedding	Jun 4, 2020	Domain AdaptationGeneral Classification	CodeCode Available	1
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID	Jun 4, 2020	ClusteringContrastive Learning	CodeCode Available	1
Adaptation de domaine non supervis\'ee pour la reconnaissance de la langue par r\'egularisation d'un r\'eseau de neurones (Unsupervised domain adaptation for language identification by regularization of a neural network)	Jun 1, 2020	Domain AdaptationLanguage Identification	—Unverified	0
Disparity-Aware Domain Adaptation in Stereo Image Restoration	Jun 1, 2020	Depth EstimationDisparity Estimation	—Unverified	0
Structure Preserving Generative Cross-Domain Learning	Jun 1, 2020	Domain AdaptationTranslation	—Unverified	0
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss	Jun 1, 2020	Domain AdaptationPseudo Label	CodeCode Available	1
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer	Jun 1, 2020	Domain AdaptationRelation	—Unverified	0
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects	Jun 1, 2020	3D Hand Pose EstimationDomain Adaptation	—Unverified	0
Progressive Adversarial Networks for Fine-Grained Domain Adaptation	Jun 1, 2020	Domain AdaptationFine-Grained Visual Categorization	—Unverified	0
Stochastic Classifiers for Unsupervised Domain Adaptation	Jun 1, 2020	Domain Adaptationimage-classification	CodeCode Available	1
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation	Jun 1, 2020	ClusteringDomain Adaptation	—Unverified	0
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization	Jun 1, 2020	Domain AdaptationPartial Domain Adaptation	—Unverified	0
DUNIT: Detection-Based Unsupervised Image-to-Image Translation	Jun 1, 2020	Domain AdaptationImage-to-Image Translation	CodeCode Available	1
Enhanced Transport Distance for Unsupervised Domain Adaptation	Jun 1, 2020	Domain AdaptationTransfer Learning	—Unverified	0
Latent Domain Learning with Dynamic Residual Adapters	Jun 1, 2020	Domain Adaptationimage-classification	—Unverified	0
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain Knowledge	Jun 1, 2020	Active LearningDomain Adaptation	CodeCode Available	1
Global Distance-distributions Separation for Unsupervised Person Re-identification	Jun 1, 2020	Domain AdaptationPerson Re-Identification	—Unverified	0
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving	Jun 1, 2020	Autonomous DrivingDomain 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