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 4301–4325 of 6439 papers

Title	Date	Tasks	Status	Hype
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data	Sep 22, 2020	Domain AdaptationSleep apnea detection	—Unverified	0
Improving Robustness and Generality of NLP Models Using Disentangled Representations	Sep 21, 2020	Domain AdaptationRepresentation Learning	—Unverified	0
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling	Sep 20, 2020	Domain AdaptationMetric Learning	—Unverified	0
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge	Sep 19, 2020	Domain Adaptationdomain classification	—Unverified	0
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation	Sep 18, 2020	Domain AdaptationSemantic Segmentation	—Unverified	0
Chemical Property Prediction Under Experimental Biases	Sep 18, 2020	Causal InferenceDomain Adaptation	—Unverified	0
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection	Sep 17, 2020	Domain AdaptationGeneral Classification	CodeCode Available	1
Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision	Sep 16, 2020	Action RecognitionDomain Adaptation	—Unverified	0
Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss	Sep 16, 2020	Domain Adaptation	—Unverified	0
Similarity-based data mining for online domain adaptation of a sonar ATR system	Sep 16, 2020	Domain AdaptationOnline Domain Adaptation	—Unverified	0
Transformer Based Multi-Source Domain Adaptation	Sep 16, 2020	Domain AdaptationMixture-of-Experts	CodeCode Available	1
Unsupervised Domain Adaptation by Uncertain Feature Alignment	Sep 14, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Deep Transparent Prediction through Latent Representation Analysis	Sep 13, 2020	Decision MakingDomain Adaptation	—Unverified	0
Revisiting the Threat Space for Vision-based Keystroke Inference Attacks	Sep 12, 2020	Domain AdaptationInference Attack	CodeCode Available	0
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images	Sep 11, 2020	Domain AdaptationInstance Segmentation	CodeCode Available	1
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation	Sep 11, 2020	Domain Adaptation	—Unverified	0
Adversarial Learning for Zero-shot Domain Adaptation	Sep 11, 2020	Domain Adaptation	—Unverified	0
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images	Sep 10, 2020	Domain AdaptationImage Segmentation	—Unverified	0
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation	Sep 9, 2020	Domain AdaptationGPU	CodeCode Available	1
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation	Sep 7, 2020	Autonomous DrivingDomain Adaptation	—Unverified	0
Improving colonoscopy lesion classification using semi-supervised deep learning	Sep 7, 2020	ClassificationDeep Learning	—Unverified	0
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation	Sep 6, 2020	DisentanglementDomain Adaptation	—Unverified	0
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation	Sep 6, 2020	Domain Adaptationspeech-recognition	CodeCode Available	1
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation	Sep 5, 2020	Domain AdaptationLiver Segmentation	—Unverified	0
Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification	Sep 5, 2020	DiversityDomain Adaptation	—Unverified	0

Show:10 25 50

← PrevPage 173 of 258Next →

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