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

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Showing 651–700 of 1751 papers

TitleStatusHype
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing—0
Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision—0
Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data AugmentationCode0
Robust sensitivity control in digital pathology via tile score distribution matching—0
Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels—0
Test-Time Modality Generalization for Medical Image Segmentation—0
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning—0
Graph Augmentation for Cross Graph Domain Generalization—0
Single Domain Generalization with Model-aware Parametric Batch-wise Mixup—0
A Similarity Paradigm Through Textual Regularization Without Forgetting—0
Evaluating and Enhancing Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations—0
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution ShiftsCode0
Why Domain Generalization Fail? A View of Necessity and Sufficiency—0
When and How Does CLIP Enable Domain and Compositional Generalization?—0
A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites—0
Supervised Contrastive Block Disentanglement—0
Color-Quality Invariance for Robust Medical Image SegmentationCode0
Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation—0
Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance—0
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment—0
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning—0
Learning to Learn Weight Generation via Local Consistency Diffusion—0
Test-time Loss Landscape Adaptation for Zero-Shot Generalization in Vision-Language Models—0
Intrinsic Tensor Field Propagation in Large Language Models: A Novel Approach to Contextual Information Flow—0
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models—0
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment—0
Rethinking Table Instruction TuningCode0
Federated Domain Generalization with Data-free On-server Matching Gradient—0
Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning—0
Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation—0
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis—0
CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic RecognitionCode0
On the challenges of detecting MCI using EEG in the wildCode0
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain AdaptationCode0
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM—0
GameFactory: Creating New Games with Generative Interactive Videos—0
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation—0
Rethinking domain generalization in medical image segmentation: One image as one domain—0
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation—0
Information Subtraction: Learning Representations for Conditional EntropyCode0
BatStyler: Advancing Multi-category Style Generation for Source-free Domain GeneralizationCode0
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing—0
Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization—0
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning—0
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach—0
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis—0
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection—0
Domain Generalization in CLIP via Learning with Diverse Text Prompts—0
Text-to-Image GAN with Pretrained Representations—0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
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All datasetsPACSVizWiz-ClassificationImageNet-COffice-HomeImageNet-AImageNet-RDomainNetVLCSTerraIncognitaGTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-SketchGTA5 to Cityscapes

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99—Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6—Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9—Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6—Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4—Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3—Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2—Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97—Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8—Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450—Unverified
2VOLO-D5Accuracy - All Images57.2—Unverified
3ConvNeXt-BAccuracy - All Images53.5—Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7—Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5—Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7—Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6—Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1—Unverified
9ViT-16/L-224Accuracy - All Images49—Unverified
10ResNet-50 (gn)Accuracy - All Images48.9—Unverified