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 41014150 of 6439 papers

TitleStatusHype
AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning0
AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation0
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages0
AdaPose: Towards Cross-Site Device-Free Human Pose Estimation with Commodity WiFi0
Adaptable End-to-End ASR Models using Replaceable Internal LMs and Residual Softmax0
Adaptable Multi-Domain Language Model for Transformer ASR0
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models0
Adaptation Across Extreme Variations using Unlabeled Domain Bridges0
Adaptation Algorithm and Theory Based on Generalized Discrepancy0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 20160
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification0
Adaptation au domaine pour l'analyse morpho-syntaxique (Domain Adaptation for PoS tagging)0
Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation0
Adaptation de domaine non supervis\'ee pour la reconnaissance de la langue par r\'egularisation d'un r\'eseau de neurones (Unsupervised domain adaptation for language identification by regularization of a neural network)0
Adaptation Method for Misinformation Identification0
Adaptation of Reordering Models for Statistical Machine Translation0
Adaptation of Surgical Activity Recognition Models Across Operating Rooms0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency0
ADAPT : Awesome Domain Adaptation Python Toolbox0
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering0
AdapterNet - learning input transformation for domain adaptation0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning0
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser0
Adapting a part-of-speech tagset to non-standard text: The case of STTS0
Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text0
Adapting Coreference Resolution for Narrative Processing0
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints0
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift0
Adapting Large Language Models for Character-based Augmentative and Alternative Communication0
Adapting Models to Signal Degradation using Distillation0
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain0
Adapting to Label Shift with Bias-Corrected Calibration0
Adapting to Latent Subgroup Shifts via Concepts and Proxies0
Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment0
Adaptive^2: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling0
Adaptive Adversarial Network for Source-Free Domain Adaptation0
Adaptive Batch Normalization Networks for Adversarial Robustness0
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation0
Adaptive Bi-Recommendation and Self-Improving Network for Heterogeneous Domain Adaptation-Assisted IoT Intrusion Detection0
Adaptive Control Attention Network for Underwater Acoustic Localization and Domain Adaptation0
Adaptive Domain Interest Network for Multi-domain Recommendation0
Adaptive Face Recognition Using Adversarial Information Network0
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds0
Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility0
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations0
Adaptive Learning to Speed-Up Control of Prosthetic Hands: a Few Things Everybody Should Know0
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation0
Adaptively Transforming Graph Matching0
Adaptive Multi-Corpora Language Model Training for Speech Recognition0
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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