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 33013350 of 6439 papers

TitleStatusHype
Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding0
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis0
Privacy-Preserving Domain Adaptation of Semantic Parsers0
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability0
Privacy Protected Multi-Domain Collaborative Learning0
Private Domain Adaptation from a Public Source0
Private Federated Learning with Domain Adaptation0
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies0
Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments0
Importance Filtered Cross-Domain Adaptation0
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding0
Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN0
Progressive Adversarial Networks for Fine-Grained Domain Adaptation0
Progressive Conservative Adaptation for Evolving Target Domains0
Progressive Domain Adaptation for Thermal Infrared Object Tracking0
Progressive Feature Alignment for Unsupervised Domain Adaptation0
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification0
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation0
Progressive Memory Banks for Incremental Domain Adaptation0
Progressive Multi-Level Alignments for Semi-Supervised Domain Adaptation SAR Target Recognition Using Simulated Data0
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification0
Progressive unsupervised domain adaptation for ASR using ensemble models and multi-stage training0
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features0
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data0
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms0
Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning0
Prompt Decoupling for Text-to-Image Person Re-identification0
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation0
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering0
Prompting Large Language Models for Zero-Shot Domain Adaptation in Speech Recognition0
Prompt Learning for Domain Adaptation in Task-Oriented Dialogue0
Propensity-driven Uncertainty Learning for Sample Exploration in Source-Free Active Domain Adaptation0
Properties of Discrete Sliced Wasserstein Losses0
PROTEST-ER: Retraining BERT for Protest Event Extraction0
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation0
Prototype and Instance Contrastive Learning for Unsupervised Domain Adaptation in Speaker Verification0
PROTOTYPE-ASSISTED ADVERSARIAL LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION0
Provable Adaptation across Multiway Domains via Representation Learning0
Provably Convergent Federated Trilevel Learning0
Provably Efficient Third-Person Imitation from Offline Observation0
Proxy Methods for Domain Adaptation0
PSDNorm: Test-Time Temporal Normalization for Deep Learning in Sleep Staging0
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation0
Pseudo-label Based Domain Adaptation for Zero-Shot Text Steganalysis0
Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings0
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation0
Pseudo-labeling for Scalable 3D Object Detection0
Pseudo-label Refinement for Improving Self-Supervised Learning Systems0
Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction0
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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