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

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Showing 151–175 of 1751 papers

TitleStatusHype
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model AdaptationCode0
What's in a Latent? Leveraging Diffusion Latent Space for Domain GeneralizationCode0
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets—0
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive ReinforcementCode4
Single Domain Generalization with Adversarial Memory—0
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world EnvironmentsCode0
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation EditsCode0
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized DetectionCode1
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting—0
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing—0
Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision—0
Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data AugmentationCode0
Gradient-Guided Annealing for Domain GeneralizationCode1
Robust sensitivity control in digital pathology via tile score distribution matching—0
Test-Time Modality Generalization for Medical Image Segmentation—0
Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels—0
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning—0
Graph Augmentation for Cross Graph Domain Generalization—0
PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image MatchingCode1
Single Domain Generalization with Model-aware Parametric Batch-wise Mixup—0
A Similarity Paradigm Through Textual Regularization Without Forgetting—0
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
Evaluating and Enhancing Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations—0
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution ShiftsCode0
Why Domain Generalization Fail? A View of Necessity and Sufficiency—0
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All datasetsPACSVizWiz-ClassificationImageNet-COffice-HomeImageNet-AImageNet-RDomainNetVLCSTerraIncognitaGTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-SketchGTA5 to Cityscapes

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99—Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6—Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9—Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6—Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4—Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3—Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2—Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97—Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8—Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450—Unverified
2VOLO-D5Accuracy - All Images57.2—Unverified
3ConvNeXt-BAccuracy - All Images53.5—Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7—Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5—Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7—Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6—Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1—Unverified
9ViT-16/L-224Accuracy - All Images49—Unverified
10ResNet-50 (gn)Accuracy - All Images48.9—Unverified