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Unsupervised Domain Adaptation

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하위 태스크: 1
평가표: 49
보존된 평가 기록: 393

Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.

Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

코드

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

https://github.com/epic-kitchens/epic-kitchens-100-narrator

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Rescaling Egocentric Vision

https://github.com/ericssonresearch/uda-4-tsc

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Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark

https://github.com/erikbrorsson/ecap

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ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation

https://github.com/ethz-asl/ucsa_neural_rendering

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Unsupervised Continual Semantic Adaptation through Neural Rendering

https://github.com/etrontech/vfmseg

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Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

https://github.com/etzinis/unsup_speech_enh_adaptation

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RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing

https://github.com/fang-zhen/Open-set-domain-adaptation

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Open Set Domain Adaptation: Theoretical Bound and Algorithm

https://github.com/fayeben/adas

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UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline

https://github.com/fchiaroni/clustering_softmax_predictions

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Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions

https://github.com/feipan664/IntraDA

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Rethinking Unsupervised Domain Adaptation for Semantic Segmentation

https://github.com/feipanir/moda

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MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation

https://github.com/fengweie/uda_clr

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Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

https://github.com/fiy2w/cmda2022.superpolymerization

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Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning

https://github.com/fjr9516/da_nnunet

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Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation

https://github.com/floft/calda

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CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning

https://github.com/flyannie/fps

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Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction

https://github.com/fmcarlucci/ADAGE

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Hallucinating Agnostic Images to Generalize Across Domains

https://github.com/fmlinks/domain

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Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels

https://github.com/fpv-iplab/DA-RetinaNet

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An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites

https://github.com/fpv-iplab/STMDA-RetinaNet

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A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training

https://github.com/frank-wang-oss/temsr

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Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation

https://github.com/frezaeix/VISGA_Public

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Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection

https://github.com/ganlumomo/thermal-uda-attention

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Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network

https://github.com/ganperf/hcpr

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Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale

https://github.com/gaussalgo/adaptor

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Adaptor: Objective-Centric Adaptation Framework for Language Models

https://github.com/gengxuli/act

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Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation

https://github.com/ghostish/open3dsot

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An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

https://github.com/giaczara/dallv

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The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation

https://github.com/giuliomattolin/confmix

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ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing

https://github.com/google-research/adamatch

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AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

https://github.com/google-research/google-research/tree/master/COSTAR

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COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning

https://github.com/gorilla-lab-scut/mast

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Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose

https://github.com/gorilla-lab-scut/qs3

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Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

https://github.com/gxinuu/pcsr

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Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation

https://github.com/h751410234/datr

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DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignment

https://github.com/haoranchen/multi-prompt-alignment-for-msuda

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Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation

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