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 52015250 of 6439 papers

TitleStatusHype
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing FlowsCode0
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
Batch weight for domain adaptation with mass shift0
d-SNE: Domain Adaptation using Stochastic Neighborhood EmbeddingCode0
Image Alignment in Unseen Domains via Domain Deep Generalization0
Domain Generalization via Universal Non-volume Preserving Models0
Adversarial Domain Adaptation Being Aware of Class Relationships0
Domain-Specific Batch Normalization for Unsupervised Domain AdaptationCode0
ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks0
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation0
Temporal Attentive Alignment for Video Domain AdaptationCode1
Unsupervised Domain Adaptation via Regularized Conditional Alignment0
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport0
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating PatternsCode0
Learning Smooth Representation for Unsupervised Domain AdaptationCode0
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification0
Subspace Detours: Building Transport Plans that are Optimal on Subspace ProjectionsCode0
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation0
Simplified Neural Unsupervised Domain Adaptation0
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data0
Joint Information Preservation for Heterogeneous Domain Adaptation0
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy0
Domain adaptation for part-of-speech tagging of noisy user-generated text0
Semi-Supervised Learning by Augmented Distribution AlignmentCode0
Butterfly: One-step Approach towards Wildly Unsupervised Domain AdaptationCode0
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis0
Progressive Memory Banks for Incremental Domain Adaptation0
The Role of Embedding Complexity in Domain-invariant Representations0
Gated Convolutional Neural Networks for Domain Adaptation0
Domain Adaptive Transfer Learning for Fault Diagnosis0
Curriculum Learning for Domain Adaptation in Neural Machine Translation0
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection0
Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation0
Weakly-supervised Caricature Face Parsing through Domain AdaptationCode0
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation0
Ship classification from overhead imagery using synthetic data and domain adaptation0
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation0
Virtual Mixup Training for Unsupervised Domain AdaptationCode0
Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial ImagesCode0
CrossTrainer: Practical Domain Adaptation with Loss ReweightingCode0
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurementsCode0
Unsupervised Domain Adaptation using Graph Transduction Games0
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery0
Known-class Aware Self-ensemble for Open Set Domain AdaptationCode0
KnowBias: A Novel AI Method to Detect Polarity in Online Content0
On Scalable and Efficient Computation of Large Scale Optimal Transport0
Meta-Learning with Domain Adaptation for Few-Shot Learning under Domain Shift0
Variational Domain Adaptation0
Stacking for Transfer Learning0
Reducing Overconfident Errors outside the Known Distribution0
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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