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 351400 of 1751 papers

TitleStatusHype
Improving Vision Transformers by Revisiting High-frequency ComponentsCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
ELFNet: Evidential Local-global Fusion for Stereo MatchingCode1
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image AnalysisCode1
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Energy-Based Test Sample Adaptation for Domain GeneralizationCode1
Unlocking Emergent Modularity in Large Language ModelsCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet GraphCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Environment Agnostic Representation for Visual Reinforcement LearningCode1
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain GeneralizationCode1
DomainDrop: Suppressing Domain-Sensitive Channels for Domain GeneralizationCode1
Modeling Uncertain Feature Representation for Domain GeneralizationCode1
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustnessCode1
Deep Learning for Face Anti-Spoofing: A SurveyCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo MatchingCode1
Improved Test-Time Adaptation for Domain GeneralizationCode1
Collaborating Foundation Models for Domain Generalized Semantic SegmentationCode1
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and BeyondCode1
NAS-OoD: Neural Architecture Search for Out-of-Distribution GeneralizationCode1
Distribution Shift Inversion for Out-of-Distribution PredictionCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
A2XP: Towards Private Domain GeneralizationCode1
Adversarial Training for Free!Code1
DIVA: Domain Invariant Variational AutoencodersCode1
Exploring Data Aggregation and Transformations to Generalize across Visual DomainsCode1
Improving Diversity with Adversarially Learned Transformations for Domain GeneralizationCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionCode1
AdvST: Revisiting Data Augmentations for Single Domain GeneralizationCode1
Selecting Data Augmentation for Simulating InterventionsCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Benchmarking Distribution Shift in Tabular Data with TableShiftCode1
Disentangling Masked Autoencoders for Unsupervised Domain GeneralizationCode1
Disentangled Feature Representation for Few-shot Image ClassificationCode1
Feature Alignment and Uniformity for Test Time AdaptationCode1
DGMamba: Domain Generalization via Generalized State Space ModelCode1
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and BeyondCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language UnderstandingCode1
A Fourier-based Framework for Domain GeneralizationCode1
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIPCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
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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
9MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8Unverified
10CAR-FT (CLIP, ViT-B/16)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