SOTAVerified

Domain Generalization

The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain

Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning

Papers

Showing 14511500 of 1751 papers

TitleStatusHype
Rethinking the Authorship Verification Experimental SetupsCode0
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection0
PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain GeneralizationCode0
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey0
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction0
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers0
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization0
Adversarial Teacher-Student Representation Learning for Domain GeneralizationCode0
Pyramid Adversarial Training Improves ViT PerformanceCode0
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive FrameworkCode0
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification0
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources0
Failure Modes of Domain Generalization AlgorithmsCode0
Confounder Identification-free Causal Visual Feature Learning0
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster AssignmentCode0
Discrete Representations Strengthen Vision Transformer RobustnessCode0
Federated Learning with Domain Generalization0
Invariant Language Modeling0
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization0
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding0
DEX: Domain Embedding Expansion for Generalized Person Re-identification0
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features0
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition0
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation0
Reappraising Domain Generalization in Neural Networks0
Domain generalization in deep learning for contrast-enhanced imaging0
Collaborative Semantic Aggregation and Calibration for Federated Domain GeneralizationCode0
Domain Generalization via Domain-based Covariance Minimization0
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization0
Towards Data-Free Domain GeneralizationCode0
Scale Invariant Domain Generalization Image Recapture Detection0
Test-time Batch Statistics Calibration for Covariate Shift0
Dynamically Decoding Source Domain Knowledge for Domain Generalization0
Focus on the Common Good: Group Distributional Robustness FollowsCode0
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders0
Discussion on domain generalization in the cross-device speaker verification system0
Loss Function Learning for Domain Generalization by Implicit Gradient0
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification0
Directional Domain Generalization0
Cross Domain Ensemble Distillation for Domain Generalization0
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation0
Latent Feature Disentanglement For Visual Domain Generalization0
Towards Robust Domain Generalization in 2D Neural Audio Processing0
Selective Cross-Domain Consistency Regularization for Time Series Domain Generalization0
Discrepancy-Optimal Meta-Learning for Domain Generalization0
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks0
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization0
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition0
A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450Unverified
2VOLO-D5Accuracy - All Images57.2Unverified
3ConvNeXt-BAccuracy - All Images53.5Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1Unverified
9ViT-16/L-224Accuracy - All Images49Unverified
10ResNet-50 (gn)Accuracy - All Images48.9Unverified