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 3251–3275 of 6439 papers

Title	Date	Tasks	Status	Hype
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation	Oct 25, 2021	Domain Adaptationimage-classification	—Unverified	0
Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval	Oct 25, 2021	Domain AdaptationRetrieval	—Unverified	0
Image-Based CLIP-Guided Essence Transfer	Oct 24, 2021	Domain AdaptationStyle Transfer	CodeCode Available	1
Domain Adaptation for Rare Classes Augmented with Synthetic Samples	Oct 23, 2021	2k8k	—Unverified	0
Domain Adaptation via Maximizing Surrogate Mutual Information	Oct 23, 2021	Domain AdaptationTransfer Learning	CodeCode Available	0
A Prototype-Oriented Framework for Unsupervised Domain Adaptation	Oct 22, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity	Oct 22, 2021	Active LearningDomain Adaptation	—Unverified	0
Cross-domain Trajectory Prediction with CTP-Net	Oct 22, 2021	Domain AdaptationPedestrian Trajectory Prediction	—Unverified	0
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation	Oct 22, 2021	Domain AdaptationReal-Time Semantic Segmentation	CodeCode Available	1
UBR^2S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation	Oct 22, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
DEX: Domain Embedding Expansion for Generalized Person Re-identification	Oct 21, 2021	Domain AdaptationDomain Generalization	—Unverified	0
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation	Oct 21, 2021	Domain AdaptationSegmentation	—Unverified	0
MixNorm: Test-Time Adaptation Through Online Normalization Estimation	Oct 21, 2021	Domain AdaptationTest-time Adaptation	—Unverified	0
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation	Oct 21, 2021	Autonomous VehiclesDomain Adaptation	CodeCode Available	1
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation	Oct 21, 2021	Domain AdaptationMulti-Task Learning	CodeCode Available	0
Center Loss Regularization for Continual Learning	Oct 21, 2021	Continual LearningDomain Adaptation	—Unverified	0
Semi-supervised Domain Adaptation for Semantic Segmentation	Oct 20, 2021	Data AugmentationDomain Adaptation	—Unverified	0
Style Agnostic 3D Reconstruction via Adversarial Style Transfer	Oct 20, 2021	3D geometry3D Object Reconstruction	—Unverified	0
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences	Oct 20, 2021	Domain AdaptationPrivacy Preserving	—Unverified	0
Continual self-training with bootstrapped remixing for speech enhancement	Oct 19, 2021	Domain AdaptationSpeech Enhancement	CodeCode Available	1
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition	Oct 19, 2021	Action RecognitionActivity Recognition	—Unverified	0
Test time Adaptation through Perturbation Robustness	Oct 19, 2021	Domain AdaptationTest-time Adaptation	CodeCode Available	0
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices	Oct 18, 2021	Acoustic Scene ClassificationClassification	—Unverified	0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters	Oct 18, 2021	Cross-Lingual TransferDomain Adaptation	—Unverified	0
Dynamic Feature Alignment for Semi-supervised Domain Adaptation	Oct 18, 2021	Domain AdaptationSemi-supervised 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