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 13511400 of 1751 papers

TitleStatusHype
Discrepancy-Optimal Meta-Learning for Domain Generalization0
Loss Function Learning for Domain Generalization by Implicit Gradient0
Latent Feature Disentanglement For Visual Domain Generalization0
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks0
Towards Robust Domain Generalization in 2D Neural Audio Processing0
Directional Domain Generalization0
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization0
A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs0
A Rate-Distortion Approach to Domain Generalization0
LASSO: Latent Sub-spaces Orientation for Domain Generalization0
Cross Domain Ensemble Distillation for Domain Generalization0
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation0
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation0
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain DatasetsCode1
Disentangled Feature Representation for Few-shot Image ClassificationCode1
Domain Generalization for Vision-based Driving Trajectory GenerationCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation0
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language UnderstandingCode1
Shape-Biased Domain Generalization via Shock Graph Embeddings0
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image SegmentationCode0
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Variational Disentanglement for Domain Generalization0
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption0
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization0
Fishr: Invariant Gradient Variances for Out-of-Distribution GeneralizationCode1
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
NAS-OoD: Neural Architecture Search for Out-of-Distribution GeneralizationCode1
Barycentric-alignment and reconstruction loss minimization for domain generalizationCode0
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage ClassificationCode1
MitoDet: Simple and robust mitosis detection0
Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection0
Domain-Robust Mitotic Figure Detection with Style Transfer0
Learning to Prompt for Vision-Language ModelsCode2
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge0
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge0
Towards Domain-Generalizable Paraphrase Identification by Avoiding the Shortcut Learning0
Towards Improving Adversarial Training of NLP ModelsCode1
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge0
Self-balanced Learning For Domain Generalization0
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training DebiasingCode1
Learning to Diversify for Single Domain GeneralizationCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge0
Discovering Spatial Relationships by Transformers for Domain Generalization0
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization0
Exploring Data Aggregation and Transformations to Generalize across Visual DomainsCode1
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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