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 51100 of 1751 papers

TitleStatusHype
DEBATE, TRAIN, EVOLVE: Self Evolution of Language Model Reasoning0
Geometrically Regularized Transfer Learning with On-Manifold and Off-Manifold Perturbation0
Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General ReasoningCode2
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts0
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training0
Towards A Generalist Code Embedding Model Based On Massive Data SynthesisCode0
Learning Robust Spectral Dynamics for Temporal Domain Generalization0
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning0
Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement0
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization0
Enriching Patent Claim Generation with European Patent DatasetCode0
CLIP-aware Domain-Adaptive Super-Resolution0
Continuous Domain Generalization0
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization0
Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization0
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical ImagingCode0
CEC-Zero: Chinese Error Correction Solution Based on LLM0
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing0
Accelerating Chain-of-Thought Reasoning: When Goal-Gradient Importance Meets Dynamic Skipping0
Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions0
Language-Driven Dual Style Mixing for Single-Domain Generalized Object DetectionCode0
NeuRN: Neuro-inspired Domain Generalization for Image Classification0
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization0
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation0
NeuGen: Amplifying the 'Neural' in Neural Radiance Fields for Domain Generalization0
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification0
Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UICode0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition0
Panoramic Out-of-Distribution SegmentationCode1
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain GeneralizationCode0
Robust AI-Generated Face Detection with Imbalanced DataCode0
GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated CodeCode0
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining0
Effective Inference-Free Retrieval for Learned Sparse Representations0
Reinforcement Learning for Reasoning in Large Language Models with One Training ExampleCode3
Low-Rank Adaptive Structural Priors for Generalizable Diabetic Retinopathy Grading0
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image SegmentationCode1
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote SensingCode0
Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications0
iMedic: Towards Smartphone-based Self-Auscultation Tool for AI-Powered Pediatric Respiratory Assessment0
DONOD: Robust and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning0
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive SurveyCode2
Vision and Language Integration for Domain Generalization0
DG-MVP: 3D Domain Generalization via Multiple Views of Point Clouds for Classification0
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation0
RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature LearningCode1
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization0
Learning Fine-grained Domain Generalization via Hyperbolic State Space HallucinationCode0
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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