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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/Junjue-Wang/LoveDA

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LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

https://github.com/Junjue-Wang/LoveNAS

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LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

https://github.com/Jyxarthur/OCLR_model

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Segmenting Moving Objects via an Object-Centric Layered Representation

https://github.com/KCL-BMEIS/ScribbleDA

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Scribble-based Domain Adaptation via Co-segmentation

https://github.com/KDongYoung/Calibration-Free-Driver-Drowsiness-Classification-based-on-Manifold-Level-Augmentation

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Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentation

https://github.com/KU-CVLAB/MoA

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Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters

https://github.com/KaimingHe/resnet-1k-layers

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Deep Residual Learning for Image Recognition

https://github.com/KaiyangZhou/Dassl.pytorch

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Domain Adaptive Ensemble Learning

https://github.com/KaiyangZhou/deep-person-reid

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Learning Generalisable Omni-Scale Representations for Person Re-Identification

https://github.com/KaiyangZhou/mixstyle-release

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Domain Generalization with MixStyle

https://github.com/KaiyangZhou/ssdg-benchmark

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Semi-Supervised Domain Generalization with Stochastic StyleMatch

https://github.com/Kamnitsask/deepmedic

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Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy

https://github.com/KarlXing/LUSR

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Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation

https://github.com/KeleiHe/BiGL

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Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation

https://github.com/KeleiHe/DAAN

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Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition

https://github.com/KevinMusgrave/powerful-benchmarker

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Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain Adaptation

https://github.com/KhaLee2307/StrDA

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Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition

https://github.com/LIVIAETS/MT-MTDA

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Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation

https://github.com/LL-a-VO/VLLaVO

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VLLaVO: Mitigating Visual Gap through LLMs

https://github.com/LS4GAN/uvcgan4slats

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Unpaired Image Translation to Mitigate Domain Shift in Liquid Argon Time Projection Chamber Detector Responses

https://github.com/LTTM/CCDA

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Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation

https://github.com/LTTM/HyperFLAW

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When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather

https://github.com/LTTM/LSR

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Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation

https://github.com/LTTM/UDAclustering

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Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings

https://github.com/Lans1ng/SFOD-RS

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CLIP-Guided Source-Free Object Detection in Aerial Images

https://github.com/LcDog/DomainAdaptiveReID

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Unsupervised Domain Adaptive Re-Identification: Theory and Practice

https://github.com/LeapLabTHU/DAPrompt

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Domain Adaptation via Prompt Learning

https://github.com/LeiTian-qj/CMMS

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Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning

https://github.com/Li-aobo/DGQA

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Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment

https://github.com/Linear95/CLUB

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CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

https://github.com/LinusWu/TENET_Training

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Group-wise Inhibition based Feature Regularization for Robust Classification

https://github.com/LittleWat/multichannel-semseg-with-uda

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Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

https://github.com/Liuhong99/CST

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Cycle Self-Training for Domain Adaptation

https://github.com/LucasFernando-aes/UnkE-OVANet

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Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration

https://github.com/Luodian/MADAN

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Multi-source Domain Adaptation for Semantic Segmentation

https://github.com/Luoyadan/MM2020_ABG

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Adversarial Bipartite Graph Learning for Video Domain Adaptation

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