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 601650 of 1751 papers

TitleStatusHype
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language ModelsCode0
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI ModelsCode0
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy ClassificationCode0
Benchmarking Domain Generalization Algorithms in Computational PathologyCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot LearningCode0
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented CalibrationCode0
MuDPT: Multi-modal Deep-symphysis Prompt Tuning for Large Pre-trained Vision-Language ModelsCode0
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical ImagingCode0
Quality-Agnostic Image Recognition via Invertible DecoderCode0
Magnification Generalization for Histopathology Image EmbeddingCode0
Adversarial Teacher-Student Representation Learning for Domain GeneralizationCode0
Deep Spatial Domain GeneralizationCode0
BatStyler: Advancing Multi-category Style Generation for Source-free Domain GeneralizationCode0
Deep Shape MatchingCode0
Generalizing to unseen domains via distribution matchingCode0
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularizationCode0
LFME: A Simple Framework for Learning from Multiple Experts in Domain GeneralizationCode0
Deep Multimodal Fusion for Generalizable Person Re-identificationCode0
Barycentric-alignment and reconstruction loss minimization for domain generalizationCode0
Deep Graph Laplacian Regularization for Robust Denoising of Real ImagesCode0
A Causal Inspired Early-Branching Structure for Domain GeneralizationCode0
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain GeneralizationCode0
Adversarial Style Augmentation for Domain Generalized Urban-Scene SegmentationCode0
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain GeneralizationCode0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
Adversarial Style Augmentation for Domain GeneralizationCode0
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysCode0
Back-to-Bones: Rediscovering the Role of Backbones in Domain GeneralizationCode0
Adversarial Semantic Hallucination for Domain Generalized Semantic SegmentationCode0
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection TrackCode0
VideoDG: Generalizing Temporal Relations in Videos to Novel DomainsCode0
Learning to Generalize for Cross-domain QACode0
Learning to Learn Single Domain GeneralizationCode0
Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UICode0
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic SegmentationCode0
Learning Semantic Role Labeling from Compatible Label SequencesCode0
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain AdaptationCode0
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent DataCode0
AutoAugment: Learning Augmentation Strategies From DataCode0
Learning Optimal Features via Partial InvarianceCode0
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data ScarcityCode0
Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney PathologyCode0
Adversarial Invariant LearningCode0
Learning Fine-grained Domain Generalization via Hyperbolic State Space HallucinationCode0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and RestorationCode0
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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