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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/mr-eggplant/sar

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Towards Stable Test-Time Adaptation in Dynamic Wild World

https://github.com/mrojascarulla/causal_transfer_learning

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Invariant Models for Causal Transfer Learning

https://github.com/mrostami1366/SequentialUDA

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Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions

https://github.com/mrwu-mac/controlmllm

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ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models

https://github.com/mrzzy2021/sculpturerecon

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3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models

https://github.com/msohaildanish/divalign

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Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment

https://github.com/msscao/acdepth

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Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather

https://github.com/msseibel/accut

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Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images

https://github.com/mswzeus/gvrt

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Grounding Visual Representations with Texts for Domain Generalization

https://github.com/mteresaparreira/baddata

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A Study on Domain Generalization for Failure Detection through Human Reactions in HRI

https://github.com/mtkresearch/clairaudience

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Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning

https://github.com/mu-kindai/jcse

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JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications

https://github.com/mubai011/MQCCAF

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Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing

https://github.com/multimodallearning/da-3dhpe-anatomy

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Anatomy-guided domain adaptation for 3D in-bed human pose estimation

https://github.com/multimodallearning/denoised_mt_pcd_reg

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A denoised Mean Teacher for domain adaptive point cloud registration

https://github.com/multimodallearning/dg-tta

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DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation

https://github.com/multimodallearning/registration-da-mean-teacher

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Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts

https://github.com/munanning/mada

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Multi-Anchor Active Domain Adaptation for Semantic Segmentation

https://github.com/munanning/madav2

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MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

https://github.com/munish30monga/COSMo

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COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation

https://github.com/muse1998/source-free-domain-generalization

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Domain-Unified Prompt Representations for Source-Free Domain Generalization

https://github.com/mushfiqur11/simpledc-dataset

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Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning

https://github.com/muskaan712/domain-adaptable-self-supervised-representation-learning-on-remote-sensing-satellite-imagery

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Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery

https://github.com/mustansarfiaz/ddam-ps

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DDAM-PS: Diligent Domain Adaptive Mixer for Person Search

https://github.com/mvandenhi/signal-is-harder

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Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss

https://github.com/mvp18/ttt-ucdr

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Test-time Training for Data-efficient UCDR

https://github.com/mwalmsley/zoobot

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Scaling Laws for Galaxy Images

https://github.com/myungsub/meta-interpolation

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Scene-Adaptive Video Frame Interpolation via Meta-Learning

https://github.com/mzalaya/screenkhorn

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Screening Sinkhorn Algorithm for Regularized Optimal Transport

https://github.com/mzhaoshuai/rlcf

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Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models

https://github.com/n3il666/meta-dmoe

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Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts

https://github.com/nabihach/IDA

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Progressive Memory Banks for Incremental Domain Adaptation

https://github.com/nadavc220/semanticsegmentationinartpaintings

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Semantic Segmentation in Art Paintings

https://github.com/nadinekroher/music-tagging-synthetic-data-cbmi-2024

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Towards Training Music Taggers on Synthetic Data

https://github.com/nadir121/Sat_DA

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Improving land cover segmentation across satellites using domain adaptation

https://github.com/naiftt/fedsis

공식 코드

FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection

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