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 32013250 of 6439 papers

TitleStatusHype
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation0
SIGTYP 2021 Shared Task: Robust Spoken Language Identification0
Siloed Federated Learning for Multi-Centric Histopathology Datasets0
Sim2Real for Self-Supervised Monocular Depth and Segmentation0
Similarity-based data mining for online domain adaptation of a sonar ATR system0
Similarity Based Genre Identification for POS Tagging Experts \& Dependency Parsing0
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation0
Similarity of Pre-trained and Fine-tuned Representations0
Similarity-preserving Image-image Domain Adaptation for Person Re-identification0
Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation0
Simple and Effective Unsupervised Speech Translation0
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging0
Simple Domain Adaptation for Sparse Retrievers0
Simple Effective Microblog Named Entity Recognition: Arabic as an Example0
Simple Neologism Based Domain Independent Models to Predict Year of Authorship0
Simple, Scalable Adaptation for Neural Machine Translation0
Simplified Neural Unsupervised Domain Adaptation0
Simplified Neural Unsupervised Domain Adaptation0
Simply Trainable Nearest Neighbour Machine Translation with GPU Inference0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data0
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains0
Sim-to-Real Domain Adaptation For High Energy Physics0
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey0
Sim-To-Real Transfer of Visual Grounding for Human-Aided Ambiguity Resolution0
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks0
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation0
Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment0
Simulation-to-reality UAV Fault Diagnosis with Deep Learning0
Simultaneous Adversarial Training - Learn from Others Mistakes0
Single and Cross-domain Polarity Classification using String Kernels0
Single Image Action Recognition by Predicting Space-Time Saliency0
Single-Stage Object Detection from Top-View Grid Maps on Custom Sensor Setups0
Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation0
Sketch-1-to-3: One Single Sketch to 3D Detailed Face Reconstruction0
Slot-BERT: Self-supervised Object Discovery in Surgical Video0
SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation0
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications0
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios0
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation0
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding0
SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification0
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars0
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling0
SOA: Reducing Domain Mismatch in SSL Pipeline by Speech Only Adaptation for Low Resource ASR0
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation0
SODA:Service Oriented Domain Adaptation Architecture for Microblog Categorization0
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation0
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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