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 52515300 of 6439 papers

TitleStatusHype
Unsupervised Domain Adaptation for Distance Metric Learning0
REVISTING NEGATIVE TRANSFER USING ADVERSARIAL LEARNING0
Domain Adaptation for Structured Output via Disentangled Patch Representations0
NETWORK COMPRESSION USING CORRELATION ANALYSIS OF LAYER RESPONSES0
Deep multi-Wasserstein unsupervised domain adaptation0
Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification0
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration0
Conditional Teacher-Student Learning0
Deep Learning to Predict Student Outcomes0
Exploring Object Relation in Mean Teacher for Cross-Domain DetectionCode0
Transferrable Prototypical Networks for Unsupervised Domain Adaptation0
Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene ClassificationCode0
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis0
Switchable Whitening for Deep Representation LearningCode0
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation0
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages0
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic ParsingCode0
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes0
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain AdaptationCode1
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences0
Active Adversarial Domain Adaptation0
Brain Tumor Segmentation on MRI with Missing Modalities0
Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation0
Automatic adaptation of object detectors to new domains using self-trainingCode0
Semi-supervised Domain Adaptation via Minimax EntropyCode1
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation0
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech RecognitionCode0
Bridging Theory and Algorithm for Domain AdaptationCode1
Data Priming Network for Automatic Check-Out0
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification0
Causal Embeddings for Recommendation: An Extended Abstract0
Domain-Symmetric Networks for Adversarial Domain Adaptation0
Learning Across Tasks and DomainsCode0
Improving Domain Adaptation Translation with Domain Invariant and Specific Information0
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging0
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection0
Long-Term Vehicle Localization by Recursive Knowledge Distillation0
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification0
Actively Seeking and Learning from Live Data0
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image RetrievalCode0
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records0
On Direct Distribution Matching for Adapting Segmentation Networks0
DeceptionNet: Network-Driven Domain Randomization0
A Robust Learning Approach to Domain Adaptive Object DetectionCode0
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNetCode0
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence LabelingCode0
Semantics-Aware Image to Image Translation and Domain Transfer0
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identificationCode0
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth EstimationCode0
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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