SOTAVerified

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.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 32513300 of 6439 papers

TitleStatusHype
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation0
Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval0
Image-Based CLIP-Guided Essence TransferCode1
Domain Adaptation for Rare Classes Augmented with Synthetic Samples0
Domain Adaptation via Maximizing Surrogate Mutual InformationCode0
A Prototype-Oriented Framework for Unsupervised Domain AdaptationCode1
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity0
Cross-domain Trajectory Prediction with CTP-Net0
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic SegmentationCode1
UBR^2S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain AdaptationCode0
DEX: Domain Embedding Expansion for Generalized Person Re-identification0
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation0
MixNorm: Test-Time Adaptation Through Online Normalization Estimation0
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain AdaptationCode1
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationCode0
Center Loss Regularization for Continual Learning0
Semi-supervised Domain Adaptation for Semantic Segmentation0
Style Agnostic 3D Reconstruction via Adversarial Style Transfer0
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences0
Continual self-training with bootstrapped remixing for speech enhancementCode1
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition0
Test time Adaptation through Perturbation RobustnessCode0
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters0
Dynamic Feature Alignment for Semi-supervised Domain Adaptation0
SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New CityCode0
FAST3D: Flow-Aware Self-Training for 3D Object Detectors0
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep LearningCode0
Pixel-level Intra-domain Adaptation for Semantic Segmentation0
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic SegmentationCode1
InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wildCode1
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
FedMM: Saddle Point Optimization for Federated Adversarial Domain AdaptationCode1
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial NetworksCode1
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters0
Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation0
Crisis Domain Adaptation Using Sequence-to-sequence TransformersCode0
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without RetrainingCode1
TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors0
Domain Adaptation on Semantic Segmentation with Separate Affine Transformation in Batch Normalization0
Domain generalization in deep learning for contrast-enhanced imaging0
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency0
Building Chinese Biomedical Language Models via Multi-Level Text DiscriminationCode0
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic SegmentationCode0
Reducing the Covariate Shift by Mirror Samples in Cross Domain AlignmentCode0
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance0
Prompt-tuning in ASR systems for efficient domain-adaptation0
LENS: Localization enhanced by NeRF synthesis0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified