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 4276–4300 of 6439 papers

Title	Date	Tasks	Status	Hype
Test-time Unsupervised Domain Adaptation	Oct 5, 2020	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation	Oct 3, 2020	DecoderDepth Estimation	CodeCode Available	1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation	Oct 2, 2020	Dimensionality ReductionDomain Adaptation	CodeCode Available	1
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction	Oct 2, 2020	Domain AdaptationSaliency Detection	CodeCode Available	1
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images	Oct 2, 2020	Domain AdaptationObject	—Unverified	0
Open Set Domain Adaptation using Optimal Transport	Oct 2, 2020	Domain Adaptation	—Unverified	0
半监督跨领域语义依存分析技术研究(Semi-supervised Domain Adaptation for Semantic Dependency Parsing)	Oct 1, 2020	Dependency ParsingDomain Adaptation	—Unverified	0
Cross-Lingual Domain Adaptation for Dependency Parsing	Oct 1, 2020	Dependency ParsingDomain Adaptation	—Unverified	0
Attention-based Domain Adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language	Oct 1, 2020	Domain AdaptationPart-Of-Speech Tagging	—Unverified	0
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization	Oct 1, 2020	Autonomous DrivingDomain Adaptation	CodeCode Available	1
Open-Set Hypothesis Transfer with Semantic Consistency	Oct 1, 2020	Domain Adaptation	—Unverified	0
Self-grouping Convolutional Neural Networks	Sep 29, 2020	ClusteringComputational Efficiency	CodeCode Available	1
Tackling unsupervised multi-source domain adaptation with optimism and consistency	Sep 29, 2020	Domain AdaptationOpen-Ended Question Answering	CodeCode Available	0
Ensemble Multi-Source Domain Adaptation with Pseudolabels	Sep 29, 2020	Domain AdaptationEnsemble Learning	—Unverified	0
Distributionally Robust Learning for Unsupervised Domain Adaptation	Sep 28, 2020	Density Ratio EstimationDomain Adaptation	—Unverified	0
On Size Generalization in Graph Neural Networks	Sep 28, 2020	Combinatorial OptimizationDomain Adaptation	—Unverified	0
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue	Sep 28, 2020	Domain AdaptationMulti-domain Dialogue State Tracking	CodeCode Available	1
Affinity Space Adaptation for Semantic Segmentation Across Domains	Sep 26, 2020	Domain AdaptationSegmentation	CodeCode Available	1
Unsupervised Model Adaptation for Continual Semantic Segmentation	Sep 26, 2020	Continual Semantic SegmentationDomain Adaptation	CodeCode Available	0
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks	Sep 25, 2020	DecoderDomain Adaptation	—Unverified	0
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey	Sep 24, 2020	Deep Reinforcement LearningDomain Adaptation	—Unverified	0
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training	Sep 24, 2020	Domain AdaptationText Classification	CodeCode Available	0
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences	Sep 24, 2020	Data AugmentationDomain Adaptation	CodeCode Available	1
Interactive Learning for Semantic Segmentation in Earth Observation	Sep 23, 2020	Domain AdaptationEarth Observation	CodeCode Available	0
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments	Sep 22, 2020	Domain AdaptationScene Understanding	CodeCode Available	1

Show:10 25 50

← PrevPage 172 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	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