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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/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/luoyadan/sf-pgl

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Source-Free Progressive Graph Learning for Open-Set Domain Adaptation

https://github.com/lupaopao/nest

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Neuron Structure Modeling for Generalizable Remote Physiological Measurement

https://github.com/lustoo/fghv

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Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

https://github.com/luxiangju-PersonAI/iCartoonFace

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Cartoon Face Recognition: A Benchmark Dataset

https://github.com/luyvlei/BiSMAPs

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Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation

https://github.com/lxycopper/plu

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Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector

https://github.com/lyessaadsaoud/adod

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

https://github.com/lyndonzheng/Synthetic2Realistic

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T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks

https://github.com/lynn-yu/hierdamap

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HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective Priors

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/lzhangbj/d3gu

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D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment

https://github.com/lzy7976/union-set-model-adaptation

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Union-set Multi-source Model Adaptation for Semantic Segmentation

https://github.com/ma787639046/tdro

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

https://github.com/macderru/hyperdomainnet

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HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks

https://github.com/machelreid/m2d2

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M2D2: A Massively Multi-domain Language Modeling Dataset

https://github.com/madhavlab/2022_ssda_airquality

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Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration

https://github.com/madhubabuv/NightDepthADFA

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Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation

https://github.com/mael-zys/coast

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Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation

https://github.com/magic-ai4med/mmedlm

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Towards Building Multilingual Language Model for Medicine

https://github.com/magicleap/SuperPointPretrainedNetwork

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SuperPoint: Self-Supervised Interest Point Detection and Description

https://github.com/magnet300/camme

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

https://github.com/mahaoxiang822/gl-msda

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Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation

https://github.com/mahdiyarmm/fedgala

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Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients

https://github.com/mahfuzibnalam/terminology_evaluation

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On the Evaluation of Machine Translation for Terminology Consistency

https://github.com/mahmed10/camss

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CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation

https://github.com/mahmoodlab/CLAM

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Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images

https://github.com/mahmoudnafifi/raw2raw

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Semi-Supervised Raw-to-Raw Mapping

https://github.com/mahuanaaa/intta

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Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model

https://github.com/mahyarnajibi/FreeAdversarialTraining

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Adversarial Training for Free!

https://github.com/mainaksingha01/AD-CLIP

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AD-CLIP: Adapting Domains in Prompt Space Using CLIP

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

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

https://github.com/mainaksingha01/odg-clip

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Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization

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