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 4676–4700 of 6439 papers

Title	Date	Tasks	Status	Hype
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching	Apr 9, 2020	Domain AdaptationStereo Matching	—Unverified	0
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem	Apr 9, 2020	Domain AdaptationMachine Translation	CodeCode Available	1
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis	Apr 8, 2020	Domain Adaptation	—Unverified	0
Towards Reusable Network Components by Learning Compatible Representations	Apr 8, 2020	Computational EfficiencyDomain Adaptation	—Unverified	0
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation	Apr 8, 2020	Domain AdaptationKnowledge Graphs	CodeCode Available	1
Dynamic Data Selection and Weighting for Iterative Back-Translation	Apr 7, 2020	Domain AdaptationMachine Translation	CodeCode Available	0
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots	Apr 7, 2020	Conversational Response SelectionDisentanglement	CodeCode Available	1
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA	Apr 7, 2020	Domain Adaptationnamed-entity-recognition	CodeCode Available	0
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings	Apr 6, 2020	Bilingual Lexicon InductionDomain Adaptation	—Unverified	0
Meta-Learning for Few-Shot NMT Adaptation	Apr 6, 2020	Domain AdaptationMachine Translation	—Unverified	0
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting	Apr 5, 2020	Crowd CountingDomain Adaptation	CodeCode Available	1
Unsupervised Domain Adaptation with Progressive Domain Augmentation	Apr 3, 2020	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Learning Pose-invariant 3D Object Reconstruction from Single-view Images	Apr 3, 2020	3D Object ReconstructionDomain Adaptation	CodeCode Available	0
Handling new target classes in semantic segmentation with domain adaptation	Apr 2, 2020	Domain AdaptationScene Segmentation	CodeCode Available	0
Tracking by Instance Detection: A Meta-Learning Approach	Apr 2, 2020	Domain AdaptationMeta-Learning	—Unverified	0
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation	Apr 2, 2020	Domain AdaptationSemantic Segmentation	—Unverified	0
Learning Agile Robotic Locomotion Skills by Imitating Animals	Apr 2, 2020	Domain AdaptationImitation Learning	—Unverified	0
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation	Mar 31, 2020	Domain AdaptationGRAPH DOMAIN ADAPTATION	—Unverified	0
Learning Cross-domain Semantic-Visual Relationships for Transductive Zero-Shot Learning	Mar 31, 2020	Domain AdaptationZero-Shot Learning	—Unverified	0
Semantic Domain Adversarial Networks for Unsupervised Domain Adaptation	Mar 30, 2020	Domain AdaptationObject Recognition	—Unverified	0
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem	Mar 30, 2020	Continual LearningDomain Adaptation	CodeCode Available	1
Gradually Vanishing Bridge for Adversarial Domain Adaptation	Mar 30, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training	Mar 30, 2020	Domain AdaptationModel Selection	—Unverified	0
Adaptive Object Detection with Dual Multi-Label Prediction	Mar 29, 2020	Domain AdaptationImage-to-Image Translation	—Unverified	0
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation	Mar 29, 2020	Domain AdaptationInstance Segmentation	—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