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 5101–5125 of 6439 papers

Title	Date	Tasks	Status	Hype
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation	Jul 30, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Open Set Domain Adaptation for Image and Action Recognition	Jul 30, 2019	Action RecognitionDomain Adaptation	CodeCode Available	0
Artistic Domain Generalisation Methods are Limited by their Deep Representations	Jul 29, 2019	Domain Adaptation	—Unverified	0
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation	Jul 29, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation	Jul 29, 2019	Domain AdaptationSemantic Segmentation	CodeCode Available	0
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets	Jul 29, 2019	Domain AdaptationSentiment Analysis	—Unverified	0
Unsupervised Domain Adaptation via Calibrating Uncertainties	Jul 25, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Self-supervised Domain Adaptation for Computer Vision Tasks	Jul 25, 2019	Domain AdaptationObject Recognition	CodeCode Available	0
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking	Jul 25, 2019	Domain AdaptationFace Model	—Unverified	0
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation	Jul 25, 2019	Domain AdaptationSegmentation	—Unverified	0
Discriminative Consistent Domain Generation for Semi-supervised Learning	Jul 24, 2019	AnatomyDomain Adaptation	—Unverified	0
Curriculum based Dropout Discriminator for Domain Adaptation	Jul 24, 2019	Domain Adaptation	CodeCode Available	0
Multi-adversarial Faster-RCNN for Unrestricted Object Detection	Jul 24, 2019	Domain AdaptationObject	CodeCode Available	0
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition	Jul 23, 2019	Domain AdaptationScene Text Detection	—Unverified	0
Multimodal Age and Gender Classification Using Ear and Profile Face Images	Jul 23, 2019	Age And Gender ClassificationClassification	CodeCode Available	0
Universal Person Re-Identification	Jul 22, 2019	Domain AdaptationDomain Generalization	—Unverified	0
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information	Jul 22, 2019	Domain AdaptationFault Detection	—Unverified	0
Open Set Domain Adaptation: Theoretical Bound and Algorithm	Jul 19, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence	Jul 17, 2019	Domain Adaptation	—Unverified	0
Remaining Useful Lifetime Prediction via Deep Domain Adaptation	Jul 17, 2019	Domain AdaptationManagement	—Unverified	0
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach	Jul 16, 2019	Depth EstimationDepth Prediction	—Unverified	0
Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task	Jul 15, 2019	Domain AdaptationMachine Translation	—Unverified	0
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation	Jul 11, 2019	Domain AdaptationHuman Part Segmentation	CodeCode Available	0
Agile Domain Adaptation	Jul 11, 2019	Domain Adaptation	—Unverified	0
Predicting engagement in online social networks: Challenges and opportunities	Jul 11, 2019	ArticlesBIG-bench Machine Learning	—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