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 38013850 of 6439 papers

TitleStatusHype
Zero-Shot Learning on 3D Point Cloud Objects and BeyondCode1
FreSaDa: A French Satire Data Set for Cross-Domain Satire DetectionCode0
On Universal Black-Box Domain AdaptationCode1
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation0
Post-Hoc Domain Adaptation via Guided Data HomogenizationCode0
OVANet: One-vs-All Network for Universal Domain AdaptationCode1
Synthetic training data generation for deep learning based quality inspection0
A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting0
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model0
Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-IdentificationCode1
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic SegmentationCode0
Unsupervised Multi-source Domain Adaptation Without Access to Source DataCode1
Reducing Racial Bias in Facial Age Prediction using Unsupervised Domain Adaptation in Regression0
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition0
DINE: Domain Adaptation from Single and Multiple Black-box PredictorsCode1
Information-theoretic regularization for Multi-source Domain Adaptation0
Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management0
Deep Feature CycleGANs: Speaker Identity Preserving Non-parallel Microphone-Telephone Domain Adaptation for Speaker Verification0
Instance Level Affinity-Based Transfer for Unsupervised Domain AdaptationCode1
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
S2R-DepthNet: Learning a Generalizable Depth-specific Structural RepresentationCode1
Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition SystemsCode0
Training and Domain Adaptation for Supervised Text Segmentation0
Domain Adaptation for NMT via Filtered Iterative Back-Translation0
Multidomain Pretrained Language Models for Green NLPCode0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline0
Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings0
On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets0
Divergence Optimization for Noisy Universal Domain AdaptationCode1
Unsupervised Domain Expansion for Visual CategorizationCode0
Curriculum Graph Co-Teaching for Multi-Target Domain AdaptationCode1
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training0
Confidence Calibration for Domain Generalization under Covariate Shift0
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery0
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain AdaptationCode1
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition0
DA-DETR: Domain Adaptive Detection Transformer with Information Fusion0
Geometric Unsupervised Domain Adaptation for Semantic Segmentation0
Source-Free Domain Adaptation for Semantic Segmentation0
Physics-based Differentiable Depth Sensor Simulation0
Domain-robust VQA with diverse datasets and methods but no target labels0
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation0
Category-Adaptive Domain Adaptation for Semantic Segmentation0
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene SegmentationCode1
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose EstimationCode1
Dynamic Domain Adaptation for Efficient InferenceCode1
Contrastive Domain Adaptation0
Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection0
Unsupervised Robust Domain Adaptation without Source Data0
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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