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 14511500 of 1751 papers

TitleStatusHype
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution GeneralizationCode1
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
An Information-theoretic Approach to Distribution ShiftsCode1
Source-Free Open Compound Domain Adaptation in Semantic SegmentationCode1
Quantifying and Improving Transferability in Domain GeneralizationCode1
Feature-based Style Randomization for Domain Generalization0
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain GeneralizationCode0
When Vision Transformers Outperform ResNets without Pre-training or Strong Data AugmentationsCode0
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms0
MetaSets:Meta-Learning on Point Sets for Generalizable Representations0
Adversarially Adaptive Normalization for Single Domain Generalization0
Semi-Supervised Domain Generalization with Stochastic StyleMatchCode1
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction0
On Compositional Generalization of Neural Machine TranslationCode1
On the benefits of representation regularization in invariance based domain generalization0
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification0
A Fourier-based Framework for Domain GeneralizationCode1
Weakly-Supervised Physically Unconstrained Gaze EstimationCode1
Medical Image Segmentation Using Squeeze-and-Expansion TransformersCode1
Towards Robust Vision TransformerCode1
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment0
A Bit More Bayesian: Domain-Invariant Learning with UncertaintyCode1
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue SystemsCode1
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing0
Learning to Perturb Word Embeddings for Out-of-distribution QACode1
Cross-Domain Few-Shot Classification via Adversarial Task AugmentationCode1
Deep Domain Generalization with Feature-norm Network0
Gradient Matching for Domain GeneralizationCode1
SelfReg: Self-supervised Contrastive Regularization for Domain GeneralizationCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
Learning to Synthesize Data for Semantic ParsingCode1
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization0
Open Domain Generalization with Domain-Augmented Meta-Learning0
Unsupervised Visual Attention and Invariance for Reinforcement Learning0
Contrastive Syn-to-Real GeneralizationCode1
Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning0
Domain Generalization with MixStyle0
Explainability-aided Domain Generalization for Image Classification0
S2R-DepthNet: Learning a Generalizable Depth-specific Structural RepresentationCode1
Confidence Calibration for Domain Generalization under Covariate Shift0
Progressive Domain Expansion Network for Single Domain GeneralizationCode1
Learning Domain Invariant Representations for Generalizable Person Re-Identification0
Adaptive Methods for Real-World Domain Generalization0
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective WhiteningCode1
Dynamic Domain Adaptation for Efficient InferenceCode1
Orthogonal Projection LossCode1
NaturalProofs: Mathematical Theorem Proving in Natural LanguageCode1
PureGaze: Purifying Gaze Feature for Generalizable Gaze EstimationCode1
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation0
An Empirical Framework for Domain Generalization in Clinical SettingsCode1
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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