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 4526–4550 of 6439 papers

Title	Date	Tasks	Status	Hype
Tent: Fully Test-time Adaptation by Entropy Minimization	Jun 18, 2020	Domain AdaptationGeneral Classification	CodeCode Available	1
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning	Jun 18, 2020	Domain AdaptationSegmentation	—Unverified	0
Joint Contrastive Learning for Unsupervised Domain Adaptation	Jun 18, 2020	Contrastive LearningDomain Adaptation	CodeCode Available	1
Self-training Avoids Using Spurious Features Under Domain Shift	Jun 17, 2020	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Mining Label Distribution Drift in Unsupervised Domain Adaptation	Jun 16, 2020	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer	Jun 16, 2020	Aspect ExtractionDomain Adaptation	—Unverified	0
Domain Adaptation with Morphologic Segmentation	Jun 16, 2020	Domain AdaptationImage-to-Image Translation	—Unverified	0
DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection	Jun 16, 2020	Change DetectionDomain Adaptation	—Unverified	0
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models	Jun 16, 2020	Domain AdaptationRepresentation Learning	CodeCode Available	1
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation	Jun 15, 2020	Domain AdaptationSelf-Supervised Learning	CodeCode Available	1
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search	Jun 15, 2020	Domain AdaptationSegmentation	CodeCode Available	1
Optimal Transport for Conditional Domain Matching and Label Shift	Jun 15, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Adversarial Weighting for Domain Adaptation in Regression	Jun 15, 2020	Domain Adaptationregression	CodeCode Available	1
Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD)	Jun 15, 2020	BenchmarkingDomain Adaptation	—Unverified	0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network	Jun 14, 2020	ClassificationDomain Adaptation	—Unverified	0
Active Online Domain Adaptation	Jun 12, 2020	Domain AdaptationOnline Domain Adaptation	—Unverified	0
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation	Jun 12, 2020	Anomaly DetectionDensity Ratio Estimation	CodeCode Available	0
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond	Jun 11, 2020	ClusteringDomain Adaptation	CodeCode Available	1
Transferring and Regularizing Prediction for Semantic Segmentation	Jun 11, 2020	Domain AdaptationPrediction	—Unverified	0
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation	Jun 11, 2020	ClusteringDomain Adaptation	—Unverified	0
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis	Jun 10, 2020	Domain AdaptationMulti-Source Unsupervised Domain Adaptation	—Unverified	0
Dataset Condensation with Gradient Matching	Jun 10, 2020	Continual LearningDataset Condensation	CodeCode Available	1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection	Jun 10, 2020	Cloud DetectionDomain Adaptation	CodeCode Available	1
Deep Learning Based Single Sample Per Person Face Recognition: A Survey	Jun 9, 2020	Deep LearningDomain Adaptation	—Unverified	0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images	Jun 9, 2020	Computed Tomography (CT)Domain 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