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 5026–5050 of 6439 papers

Title	Date	Tasks	Status
Domain Aggregation Networks for Multi-Source Domain Adaptation	Sep 11, 2019	Domain AdaptationSentiment Analysis	—Unverified
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation	Sep 10, 2019	DiversityDomain Adaptation	—Unverified
Structure-Attentioned Memory Network for Monocular Depth Estimation	Sep 10, 2019	Depth EstimationDomain Adaptation	—Unverified
On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Retinography	Sep 9, 2019	Domain Adaptation	CodeCode Available
Unsupervised Domain Adaptation for Depth Prediction from Images	Sep 9, 2019	Depth EstimationDepth Prediction	CodeCode Available
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback	Sep 8, 2019	Domain AdaptationMeta-Learning	CodeCode Available
Cross Domain Image Matching in Presence of Outliers	Sep 8, 2019	Domain AdaptationOutlier Detection	—Unverified
Open Compound Domain Adaptation	Sep 8, 2019	Domain AdaptationFacial Expression Recognition	—Unverified
CUDA: Contradistinguisher for Unsupervised Domain Adaptation	Sep 8, 2019	Domain Adaptationdomain classification	CodeCode Available
Abductive Reasoning as Self-Supervision for Common Sense Question Answering	Sep 6, 2019	Common Sense ReasoningDomain Adaptation	—Unverified
Multi-layer Domain Adaptation for Deep Convolutional Networks	Sep 5, 2019	Domain AdaptationMulti-class Classification	—Unverified
Intensity augmentation for domain transfer of whole breast segmentation in MRI	Sep 5, 2019	Domain AdaptationSegmentation	—Unverified
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification	Sep 4, 2019	Acoustic Scene ClassificationBIG-bench Machine Learning	CodeCode Available
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution	Sep 4, 2019	Domain AdaptationGeneral Classification	CodeCode Available
Beyond Photo Realism for Domain Adaptation from Synthetic Data	Sep 4, 2019	DenoisingDomain Adaptation	—Unverified
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation	Sep 2, 2019	Data AugmentationDomain Adaptation	—Unverified
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection	Sep 2, 2019	Domain AdaptationObject	—Unverified
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data	Sep 2, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data	Sep 2, 2019	Domain AdaptationDomain Generalization	—Unverified
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation	Sep 2, 2019	Autonomous DrivingDomain Adaptation	—Unverified
Self-Adaptation for Unsupervised Domain Adaptation	Sep 1, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Opinions Summarization: Aspect Similarity Recognition Relaxes The Constraint of Predefined Aspects	Sep 1, 2019	Domain AdaptationExtractive Summarization	—Unverified
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification	Aug 30, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
Texture Underfitting for Domain Adaptation	Aug 29, 2019	Autonomous DrivingDomain Adaptation	—Unverified
Unsupervised Domain Adaptation for Cross-sensor Pore Detection in High-resolution Fingerprint Images	Aug 28, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available

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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	CMKD	Accuracy	89	—	Unverified
5	PMTrans	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	DDA	Accuracy	88.9	—	Unverified
9	MEDM	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