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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/lingeringlight/start

공식 코드

START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation

https://github.com/lins-lab/fedbr

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FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction

https://github.com/lisadunlap/alia

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Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

https://github.com/liulu112601/URT

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A Universal Representation Transformer Layer for Few-Shot Image Classification

https://github.com/liuquande/FedDG-ELCFS

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FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

https://github.com/liuquande/SAML

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Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains

https://github.com/liweiyangv/dpcl

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Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning

https://github.com/lixiaotong97/dsu

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Modeling Uncertain Feature Representation for Domain Generalization

https://github.com/liy140/multidomain-measextract-corpus

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Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction

https://github.com/liyiying/Feature_Critic

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Feature-Critic Networks for Heterogeneous Domain Generalization

https://github.com/liyuhui-12/drmfordg

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Direct-Effect Risk Minimization for Domain Generalization

https://github.com/liyuke65535/part-aware-transformer

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Part-Aware Transformer for Generalizable Person Re-identification

https://github.com/lizheren/MSVCL_MICCAI2021

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Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

https://github.com/lizw14/super-clevr

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Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning

https://github.com/lkpengcs/rvms

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Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation

https://github.com/lmz123321/which_invariance

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Which Invariance Should We Transfer? A Causal Minimax Learning Approach

https://github.com/lojzezust/slr

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Learning with Weak Annotations for Robust Maritime Obstacle Detection

https://github.com/longshaocong/dgmamba

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DGMamba: Domain Generalization via Generalized State Space Model

https://github.com/longshaocong/dmda

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Rethinking Domain Generalization: Discriminability and Generalizability

https://github.com/lucasmansilla/DGvGS

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Domain Generalization via Gradient Surgery

https://github.com/lugroupumn/icl-ellipticpdes

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In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning

https://github.com/lugroupumn/icl_linear_systems

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In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning

https://github.com/luo-lorry/Stylized-Medical-Segmentation

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Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation

https://github.com/luodian/sf-moe-dg

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Sparse Mixture-of-Experts are Domain Generalizable Learners

https://github.com/lupaopao/nest

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Neuron Structure Modeling for Generalizable Remote Physiological Measurement

https://github.com/lustoo/fghv

공식 코드

Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

https://github.com/lyessaadsaoud/adod

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ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments

https://github.com/lytang63/Inper

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Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation

https://github.com/lytang63/OCRT

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OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad

https://github.com/ma787639046/tdro

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Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

https://github.com/machelreid/m2d2

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M2D2: A Massively Multi-domain Language Modeling Dataset

https://github.com/magnet300/camme

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CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention

https://github.com/mahdiyarmm/fedgala

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Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients

https://github.com/mahyarnajibi/FreeAdversarialTraining

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Adversarial Training for Free!

https://github.com/mainaksingha01/applenet

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APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP

https://github.com/mainaksingha01/gopro

공식 코드

GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.