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 401450 of 1751 papers

TitleStatusHype
ConvNLP: Image-based AI Text Detection0
Invariance Principle Meets Vicinal Risk Minimization0
Mixstyle based Domain Generalization for Sound Event Detection with Heterogeneous Training Data0
C^3DG: Conditional Domain Generalization for Hyperspectral Imagery Classification with Convergence and Constrained-risk Theories0
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain GeneralizationCode1
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners0
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge DistillationCode2
Domain-independent detection of known anomaliesCode0
Self-supervised Vision Transformer are Scalable Generative Models for Domain GeneralizationCode0
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention0
Conceptual Codebook Learning for Vision-Language Models0
GalLoP: Learning Global and Local Prompts for Vision-Language ModelsCode2
Invariant Correlation of Representation with Label0
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervisionCode1
Less Forgetting for Better Generalization: Exploring Continual-learning Fine-tuning Methods for Speech Self-supervised Representations0
ASPS: Augmented Segment Anything Model for Polyp SegmentationCode1
FMSG-JLESS Submission for DCASE 2024 Task4 on Sound Event Detection with Heterogeneous Training Dataset and Potentially Missing Labels0
Scalable and Domain-General Abstractive Proposition Segmentation0
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift0
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual SegmentationCode0
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptionsCode1
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology ImagesCode0
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation0
Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics0
An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence0
Diffusion-Based Adaptation for Classification of Unknown Degraded ImagesCode0
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Revisiting Spurious Correlation in Domain Generalization0
Domain Generalization for In-Orbit 6D Pose Estimation0
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language ModelsCode0
Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet GraphCode1
How Does Distribution Matching Help Domain Generalization: An Information-theoretic AnalysisCode0
CLST: Cold-Start Mitigation in Knowledge Tracing by Aligning a Generative Language Model as a Students' Knowledge Tracer0
Learning from Natural Language Explanations for Generalizable Entity Matching0
FADE: Towards Fairness-aware Augmentation for Domain Generalization via Classifier-Guided Score-based Diffusion Models0
Fine-Grained Domain Generalization with Feature StructuralizationCode0
Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition MonitoringCode2
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach0
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean FunctionsCode0
Causality-inspired Latent Feature Augmentation for Single Domain Generalization0
Domain Generalization Guided by Large-Scale Pre-Trained Priors0
Domain Agnostic Conditional Invariant Predictions for Domain Generalization0
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition0
Matching Anything by Segmenting AnythingCode5
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning0
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation0
ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models0
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
Towards Generalizable Multi-Object TrackingCode1
Show:102550
← PrevPage 9 of 36Next →

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