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 4376–4400 of 6439 papers

Title	Date	Tasks	Status	Hype
Co-training for On-board Deep Object Detection	Aug 12, 2020	Domain AdaptationObject	—Unverified	0
Learning to Cluster under Domain Shift	Aug 11, 2020	ClusteringDeep Clustering	CodeCode Available	1
Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks	Aug 10, 2020	Domain AdaptationImage Generation	CodeCode Available	1
Hard Class Rectification for Domain Adaptation	Aug 8, 2020	Domain AdaptationSemi-supervised Domain Adaptation	CodeCode Available	0
Associative Partial Domain Adaptation	Aug 7, 2020	Domain AdaptationPartial Domain Adaptation	—Unverified	0
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network	Aug 6, 2020	Domain Adaptation	CodeCode Available	1
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN	Aug 5, 2020	Data AugmentationDomain Adaptation	CodeCode Available	1
Class-Incremental Domain Adaptation	Aug 4, 2020	Domain Adaptation	—Unverified	0
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation	Aug 4, 2020	Domain AdaptationPseudo Label	CodeCode Available	1
Shape Consistent 2D Keypoint Estimation under Domain Shift	Aug 4, 2020	Depth EstimationDomain Adaptation	—Unverified	0
Learning from a Complementary-label Source Domain: Theory and Algorithms	Aug 4, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites	Aug 4, 2020	Domain AdaptationImage-to-Image Translation	CodeCode Available	1
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders	Aug 3, 2020	Domain AdaptationGeneralized Zero-Shot Learning	—Unverified	0
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data	Aug 3, 2020	Depth CompletionDomain Adaptation	—Unverified	0
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning	Aug 3, 2020	Cross-Domain Facial Expression RecognitionDomain Adaptation	CodeCode Available	1
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages	Aug 2, 2020	DiversityDomain Adaptation	CodeCode Available	0
Discriminative Partial Domain Adversarial Network	Aug 1, 2020	Domain AdaptationPartial Domain Adaptation	—Unverified	0
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data	Aug 1, 2020	Autonomous DrivingDepth Estimation	—Unverified	0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data	Aug 1, 2020	Domain AdaptationDomain Generalization	—Unverified	0
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning	Aug 1, 2020	Domain Adaptation	—Unverified	0
Mind the Discriminability: Asymmetric Adversarial Domain Adaptation	Aug 1, 2020	Domain Adaptation	—Unverified	0
HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation	Aug 1, 2020	Domain Adaptation	—Unverified	0
Multi-Source Open-Set Deep Adversarial Domain Adaptation	Aug 1, 2020	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Monocular 3D Object Detection via Feature Domain Adaptation	Aug 1, 2020	3D Object DetectionDomain Adaptation	—Unverified	0
Content-Consistent Matching for Domain Adaptive Semantic Segmentation	Aug 1, 2020	Domain AdaptationImage-to-Image Translation	CodeCode Available	1

Show:10 25 50

← PrevPage 176 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