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 701750 of 1751 papers

TitleStatusHype
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI ModelsCode0
Enhancing Representation Generalization in Authorship Identification0
Discovering environments with XRMCode1
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningCode1
Diverse Target and Contribution Scheduling for Domain Generalization0
Rethinking Domain Generalization: Discriminability and GeneralizabilityCode0
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge0
CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading0
Robust Internal Representations for Domain Generalization0
Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic SegmentationCode0
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature AlignmentCode0
Learning Invariant Representations with a Nonparametric Nadaraya-Watson HeadCode1
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs0
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous DrivingCode1
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments0
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language GuidanceCode1
Weight Averaging Improves Knowledge Distillation under Domain ShiftCode1
Generalizing Across Domains in Diabetic Retinopathy via Variational AutoencodersCode0
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective0
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy ClassificationCode0
Domain Generalization with Fourier Transform and Soft ThresholdingCode0
Multi-dimensional domain generalization with low-rank structuresCode0
Context is Environment0
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient ChannelsCode1
Towards Reliable Domain Generalization: A New Dataset and Evaluations0
Exploring Flat Minima for Domain Generalization with Large Learning RatesCode0
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target SimulationCode2
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion DataCode1
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization0
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding ParadigmCode0
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens0
SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge0
Generative Data Augmentation using LLMs improves Distributional Robustness in Question AnsweringCode3
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models0
Domain Generalization via Balancing Training Difficulty and Model Capability0
Domain Generalization without Excess Empirical Risk0
iBARLE: imBalance-Aware Room Layout Estimation0
Read-only Prompt Optimization for Vision-Language Few-shot LearningCode1
Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech0
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and RestorationCode0
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding StatisticsCode1
Multi-Scale and Multi-Layer Contrastive Learning for Domain GeneralizationCode0
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive LearningCode0
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic RetinopathyCode1
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic SegmentationCode1
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip DesignCode1
Understanding Hessian Alignment for Domain GeneralizationCode1
Unsupervised Prototype Adapter for Vision-Language Models0
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised LearningCode0
Domain Generalization via Rationale InvarianceCode1
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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