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Domain Adaptation

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하위 태스크: 13
평가표: 58
보존된 평가 기록: 391

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

A Brief Review of Domain Adaptation

<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised Image-to-Image Translation Networks )</span>

코드

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

https://github.com/aipmlab/facmic

공식 코드

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

https://github.com/airi-institute/styledomain

공식 코드

StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation

https://github.com/airl-iisc/MRFP

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MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation

https://github.com/airl-iisc/indraeye

공식 코드

SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systems

https://github.com/airlabkhu/a2xp

공식 코드

A2XP: Towards Private Domain Generalization

https://github.com/akhilmathurs/libriadapt

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Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation

https://github.com/akshaymehra24/CertifiableDG

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On Certifying and Improving Generalization to Unseen Domains

https://github.com/akshaymehra24/LimitsOfUDA

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Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning

https://github.com/akshaymehra24/riskaversedg

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On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization

https://github.com/albert0147/onering

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OneRing: A Simple Method for Source-free Open-partial Domain Adaptation

https://github.com/albert0147/sfda_neighbors

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Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

https://github.com/albertcity/opa

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Online Prototype Alignment for Few-shot Policy Transfer

https://github.com/alceubissoto/artifact-generalization-skin

공식 코드

Artifact-Based Domain Generalization of Skin Lesion Models

https://github.com/aleemsidra/SaLIP

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Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation

https://github.com/aleemsidra/convlora

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ConvLoRA and AdaBN based Domain Adaptation via Self-Training

https://github.com/alehdaghi/cross-modal-re-id-via-lupi

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Visible-Infrared Person Re-Identification Using Privileged Intermediate Information

https://github.com/alexa/dialoglue

공식 코드

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

https://github.com/alexa/dstqa

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Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering

https://github.com/alexanderhberger/cross-dim_i2g

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Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers

https://github.com/alexanderjaus/PPS

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Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning

https://github.com/alexandra-chron/hierarchical-domain-adaptation

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Efficient Hierarchical Domain Adaptation for Pretrained Language Models

https://github.com/alexrame/fishr

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Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization

https://github.com/alexthebad/ap10k

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AP-10K: A Benchmark for Animal Pose Estimation in the Wild

https://github.com/alfassy/FETA

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FETA: Towards Specializing Foundation Models for Expert Task Applications

https://github.com/ali-chr/Transductive_ZSL_3D_Point_Cloud

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Zero-Shot Learning on 3D Point Cloud Objects and Beyond

https://github.com/alibaba/cluster-contrast

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Cluster Contrast for Unsupervised Person Re-Identification

https://github.com/alibaba/easyrobust

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Towards Robust Vision Transformer

https://github.com/alibaba/easyrobust/tree/main/examples/imageclassification/imagenet/dat

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Enhance the Visual Representation via Discrete Adversarial Training

https://github.com/alimrsn79/da_lr_nmt

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From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine Translation

https://github.com/alinlab/MASKER

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MASKER: Masked Keyword Regularization for Reliable Text Classification

https://github.com/alisawuffles/proxy-tuning

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Tuning Language Models by Proxy

https://github.com/allan-z/label_noise_ignorance

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Label Noise: Ignorance Is Bliss

https://github.com/allanchen95/code

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CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking

https://github.com/allenai/scifact

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Fact or Fiction: Verifying Scientific Claims

https://github.com/alon-albalak/tlidb

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FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue

https://github.com/alpc91/transda

공식 코드

Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation

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