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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/patil-suraj/question_generation

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Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering

https://github.com/perceptualai-lab/awesome-domain-generalizable-person-re-id

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Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person Matching

https://github.com/phy710/icassp2024-fdg-st

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Domain Generalization with Fourier Transform and Soft Thresholding

https://github.com/pic4ser/agriseg

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Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation

https://github.com/pic4ser/back-to-bones

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Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization

https://github.com/pimed/trusglandsegmentation

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Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

https://github.com/piotr-teterwak/erm_plusplus

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ERM++: An Improved Baseline for Domain Generalization

https://github.com/pizzareapers/fedsdaf

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FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization

https://github.com/pjlab-adg/3dtrans

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ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

https://github.com/pjlab-adg/pcsim

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ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

https://github.com/pku-ml/beyond_interpretability

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Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness

https://github.com/pranavajitnair/dapa

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Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization

https://github.com/primebo1/FAMNet

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FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation

https://github.com/prithv1/DMG

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Learning to Balance Specificity and Invariance for In and Out of Domain Generalization

https://github.com/prithv1/pasta

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PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization

https://github.com/pth1993/fatdm

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Fairness and Accuracy under Domain Generalization

https://github.com/purdue-m2/sp_cup

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Robust AI-Generated Face Detection with Imbalanced Data

https://github.com/qdata/pgrad

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PGrad: Learning Principal Gradients For Domain Generalization

https://github.com/qi5lei/dsaf

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Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework

https://github.com/qianyuzqy/iadg

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Instance-Aware Domain Generalization for Face Anti-Spoofing

https://github.com/qiaoruiyt/noiserobustdg

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Understanding Domain Generalization: A Noise Robustness Perspective

https://github.com/qihoo360/light-r1

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Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

https://github.com/qinhongda8/ldds

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Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection

https://github.com/qintianjian-lab/ras4dg

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Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

https://github.com/qinzheng2000/generaltrack

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Towards Generalizable Multi-Object Tracking

https://github.com/qiumuyang/siab

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The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation

https://github.com/qiuzh20/emoe

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Unlocking Emergent Modularity in Large Language Models

https://github.com/rabeehk/hyperformer

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Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks

https://github.com/rafizunaed/domain_agnostic_content_aware_style_invariant

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Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays

https://github.com/raoyongming/GFNet

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Global Filter Networks for Image Classification

https://github.com/ratschlab/icmseg

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Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms

https://github.com/raunak-agarwal/factual-consistency-eval

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Zero-shot Factual Consistency Evaluation Across Domains

https://github.com/ravishah1/dcin-cqg

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Color-Quality Invariance for Robust Medical Image Segmentation

https://github.com/renytek13/soft-prompt-generation-with-cgan

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Soft Prompt Generation for Domain Generalization

https://github.com/rezaakb/peft-vit

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Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting

https://github.com/rgeirhos/Stylized-ImageNet

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ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

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