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 11511200 of 1751 papers

TitleStatusHype
Learning Semantic Role Labeling from Compatible Label SequencesCode0
Feature-aligned N-BEATS with Sinkhorn divergenceCode0
Adaptive Face Recognition Using Adversarial Information Network0
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet ExtractionCode0
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic SegmentationCode0
Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze EstimationCode0
Single Domain Dynamic Generalization for Iris Presentation Attack Detection0
Domain Generalization Deep Graph Transformation0
Learning to Generalize for Cross-domain QACode0
Consistency Regularization for Domain Generalization with Logit Attribution MatchingCode0
Masked Audio Text Encoders are Effective Multi-Modal Rescorers0
Multi-Prompt with Depth Partitioned Cross-Modal LearningCode0
Evaluating Embedding APIs for Information Retrieval0
Adaptive Domain Generalization for Digital Pathology Images0
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensemblesCode0
SIMPLE: Specialized Model-Sample Matching for Domain GeneralizationCode0
Augmentation-based Domain Generalization for Semantic Segmentation0
RPLKG: Robust Prompt Learning with Knowledge Graph0
Domain Generalization for Mammographic Image Analysis with Contrastive Learning0
Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation0
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts0
Chain of Thought Prompt Tuning in Vision Language Models0
Frequency Decomposition to Tap the Potential of Single Domain for Generalization0
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning0
Semantic-Aware Mixup for Domain GeneralizationCode0
Domain Generalization In Robust Invariant RepresentationCode0
Meta-causal Learning for Single Domain Generalization0
Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts0
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation0
Randomized Adversarial Style Perturbations for Domain Generalization0
Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge DistillationCode0
A principled approach to model validation in domain generalizationCode0
CNNs with Multi-Level Attention for Domain Generalization0
Progressive Random Convolutions for Single Domain Generalization0
Simple Domain Generalization Methods are Strong Baselines for Open Domain GeneralizationCode0
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning0
SDTracker: Synthetic Data Based Multi-Object Tracking0
Improving Generalization with Domain Convex GameCode0
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot GeneralizationCode0
Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography0
Finding Competence Regions in Domain GeneralizationCode0
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less0
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology0
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues0
Domain Generalization via Nuclear Norm RegularizationCode0
Modality-Agnostic Debiasing for Single Domain Generalization0
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models0
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization0
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?0
Adaptive Texture Filtering for Single-Domain Generalized SegmentationCode0
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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