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 36513700 of 6439 papers

TitleStatusHype
Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided DiagnosisCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine TranslationCode1
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification0
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation0
ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild0
Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation0
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit0
KL Guided Domain AdaptationCode1
Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts0
Dynamic Gradient Aggregation for Federated Domain Adaptation0
Graph Domain Adaptation: A Generative View0
Attention-based Domain Adaptation for Single Stage Detectors0
Self-training Guided Adversarial Domain Adaptation For Thermal ImageryCode1
Provable Adaptation across Multiway Domains via Representation Learning0
Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images0
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
Spectral Unsupervised Domain Adaptation for Visual Recognition0
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic SegmentationCode0
TOHAN: A One-step Approach towards Few-shot Hypothesis AdaptationCode0
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are AbsentCode0
Linguistically Informed Masking for Representation Learning in the Patent DomainCode0
Domain Transformer: Predicting Samples of Unseen, Future DomainsCode0
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection0
Cross-domain Contrastive Learning for Unsupervised Domain AdaptationCode0
Spot the Difference: Detection of Topological Changes via Geometric AlignmentCode0
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units0
Taxonomy of Machine Learning Safety: A Survey and Primer0
Predicting the Success of Domain Adaptation in Text Similarity0
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
Adversarial Semantic Hallucination for Domain Generalized Semantic SegmentationCode0
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain AdaptationCode1
SIGTYP 2021 Shared Task: Robust Spoken Language Identification0
Frustratingly Easy Uncertainty Estimation for Distribution Shift0
Multi-Target Domain Adaptation with Collaborative Consistency Learning0
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain DetectionCode1
Source-Free Open Compound Domain Adaptation in Semantic SegmentationCode1
Category Contrast for Unsupervised Domain Adaptation in Visual TasksCode1
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment0
RDA: Robust Domain Adaptation via Fourier Adversarial AttackingCode1
Domain Consensus Clustering for Universal Domain AdaptationCode0
Self-Supervised Learning of Domain Invariant Features for Depth Estimation0
A Survey on Deep Domain Adaptation for LiDAR Perception0
A Survey on Optimal Transport for Machine Learning: Theory and Applications0
Generalized Domain Adaptation0
Why be adversarial? Let's cooperate!: Cooperative Dataset Alignment via JSD Upper Bound0
Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal0
Multiscale Domain Adaptive YOLO for Cross-Domain Object DetectionCode1
BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRACode0
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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