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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/richardobi/medigan

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High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

https://github.com/rikiyay/style-transfer-for-digital-pathology

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Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation

https://github.com/rizhaocai/metapattern_fas

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Learning Meta Pattern for Face Anti-Spoofing

https://github.com/robin-karlsson0/vice

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ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment

https://github.com/robustml-eurecom/sbnn

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Binary domain generalization for sparsifying binary neural networks

https://github.com/rongguangw/flow-scm

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Harmonization with Flow-based Causal Inference

https://github.com/ronyabecidan/holisticsteganalysiswithsetcovering

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Using Set Covering to Generate Databases for Holistic Steganalysis

https://github.com/rookiehb/dismae

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Disentangling Masked Autoencoders for Unsupervised Domain Generalization

https://github.com/roypic/aligner

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On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging

https://github.com/rshaojimmy/AAAI2020-RFMetaFAS

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Regularized Fine-grained Meta Face Anti-spoofing

https://github.com/rwightman/pytorch-image-models

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VOLO: Vision Outlooker for Visual Recognition

https://github.com/rxsw/mode

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Moderately Distributional Exploration for Domain Generalization

https://github.com/ryanwangzf/biobridge

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BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

https://github.com/ryoungj/optdom

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Optimal Representations for Covariate Shift

https://github.com/s-enmt/pseudodomainbed

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Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization

https://github.com/sai990323/tallrec

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TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

https://github.com/sail-sg/metaformer

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MetaFormer Baselines for Vision

https://github.com/sail-sg/volo

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VOLO: Vision Outlooker for Visual Recognition

https://github.com/saili0103/fairm

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FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality

https://github.com/saili0103/tensordg

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Multi-dimensional domain generalization with low-rank structures

https://github.com/sakurajimamaiii/tsd

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Feature Alignment and Uniformity for Test Time Adaptation

https://github.com/salesforce/ensemble-of-averages

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Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

https://github.com/saltoricristiano/lidog

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Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation

https://github.com/samar-khanna/cropmap

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Activation Regression for Continuous Domain Generalization with Applications to Crop Classification

https://github.com/sanoojan/clip-drdg

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Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy

https://github.com/sanphouwang/fedccrl

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FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning

https://github.com/saptarshi059/generalization-hypothesis

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Exploring Language Model Generalization in Low-Resource Extractive QA

https://github.com/saqibjaved1/QT-DoG

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QT-DoG: Quantization-aware Training for Domain Generalization

https://github.com/sarihust/sammed

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Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation

https://github.com/scott-yjyang/hcdg

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HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation

https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord

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Towards contrast-agnostic soft segmentation of the spinal cord

https://github.com/scylj1/EPD

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Enriching Patent Claim Generation with European Patent Dataset

https://github.com/sdoerrich97/vits-are-generative-models

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Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

https://github.com/seabearlmx/cdpcl

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Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic Segmentation

https://github.com/seanie12/SWEP

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Learning to Perturb Word Embeddings for Out-of-distribution QA

https://github.com/seanie12/mrqa

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Domain-agnostic Question-Answering with Adversarial Training

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