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Domain Generalization

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하위 태스크: 3
평가표: 21
보존된 평가 기록: 570

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/gabriel-tjio/ash

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Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

https://github.com/gallenszl/MSMD-Net

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PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching

https://github.com/gallenszl/pcwnet

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PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching

https://github.com/gaohan123/lam

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Consistency Regularization for Domain Generalization with Logit Attribution Matching

https://github.com/gaozhitong/multishiftseg

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Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts

https://github.com/genentech/svae

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Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling

https://github.com/genie-kim/pinthememory

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Pin the Memory: Learning to Generalize Semantic Segmentation

https://github.com/gianlucarloni/crocodile

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CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning

https://github.com/ginawong/weighted_risk_invariance

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Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift

https://github.com/gingasan/lemon

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Rethinking Masked Language Modeling for Chinese Spelling Correction

https://github.com/goodbai-nlp/amr-domainadaptation

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Cross-domain Generalization for AMR Parsing

https://github.com/google-research/augmix

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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

https://github.com/google-research/google-research/tree/master/muNet

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A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems

https://github.com/google-research/scenic/tree/main/scenic/projects/adversarialtraining

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Pyramid Adversarial Training Improves ViT Performance

https://github.com/google-research/vision_transformer

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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

https://github.com/gordon-guojun-zhang/transferability-neurips2021

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Quantifying and Improving Transferability in Domain Generalization

https://github.com/gt-salt/guided-adversarial-augmentation

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Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition

https://github.com/gtzheng/advst

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AdvST: Revisiting Data Augmentations for Single Domain Generalization

https://github.com/guliisgreat/vdpg

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Adapting to Distribution Shift by Visual Domain Prompt Generation

https://github.com/guxiao0822/lt-ds

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Tackling Long-Tailed Category Distribution Under Domain Shifts

https://github.com/gzoumpourlis/ensemble-mi

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Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training

https://github.com/h-yu16/domainbed-v2

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Rethinking the Evaluation Protocol of Domain Generalization

https://github.com/hackmebroo/ccfp

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Cross Contrasting Feature Perturbation for Domain Generalization

https://github.com/hackmebroo/cross-contrasting-feature-perturbation-for-domain-generalization

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Cross Contrasting Feature Perturbation for Domain Generalization

https://github.com/hanniewhu/promptmid

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PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching

https://github.com/haochen-wang409/styletransfer

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Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation

https://github.com/haoxiang-wang/isr

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Provable Domain Generalization via Invariant-Feature Subspace Recovery

https://github.com/has97/osloprompt

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OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP

https://github.com/hasanirtiza/Pedestron

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Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond

https://github.com/hbchen121/dgreid

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Style Variable and Irrelevant Learning for Generalizable Person Re-identification

https://github.com/hduanac/gradframe

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Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments

https://github.com/heboyong/Generalized-Diffusion-Detector

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Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection

https://github.com/heboyong/fitness-generalization-transferability

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Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability

https://github.com/helioszhao/shade

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Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

https://github.com/helioszhao/shade-visualdg

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Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization

https://github.com/hendrycks/imagenet-r

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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

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