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Test-time Adaptation

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

https://github.com/dengzeshuai/srtta

공식 코드

Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction

https://github.com/devavrattomar/tesla

공식 코드

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

https://github.com/devavrattomar/unmixtns

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Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation

https://github.com/dhanajitb/petal

공식 코드

A Probabilistic Framework for Lifelong Test-Time Adaptation

https://github.com/divelab/atta

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Active Test-Time Adaptation: Theoretical Analyses and An Algorithm

https://github.com/dmn-sjk/ar-tta

공식 코드

AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation

https://github.com/donghao51/aeo

공식 코드

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization

https://github.com/donghao51/awesome-multimodal-adaptation

공식 코드

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models

https://github.com/dosowiechi/clipartt

공식 코드

CLIPArTT: Adaptation of CLIP to New Domains at Test Time

https://github.com/dosowiechi/clust3

공식 코드

ClusT3: Information Invariant Test-Time Training

https://github.com/dosowiechi/mlmp

공식 코드

Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation

https://github.com/drumpt/sgem

공식 코드

SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization

https://github.com/endoluminalsurgicalvision-imr/pass

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PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation

https://github.com/esyoon7/litta

공식 코드

LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition

https://github.com/farinamatteo/zero

공식 코드

Frustratingly Easy Test-Time Adaptation of Vision-Language Models

https://github.com/feliciaxyao/icml2024-fstta

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Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation

https://github.com/fiveai/lame

공식 코드

Parameter-free Online Test-time Adaptation

https://github.com/fredzzhang/atlas

공식 코드

Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

https://github.com/fszatkowski/cl-teacher-adaptation

공식 코드

Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning

https://github.com/gaoyuan2/apcotta

공식 코드

APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds

https://github.com/gaozhengqing/unient

공식 코드

Unified Entropy Optimization for Open-Set Test-Time Adaptation

https://github.com/gist-ailab/domain-specific-block-selection-and-paired-view-pseudo-labeling-for-online-tta

공식 코드

Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation

https://github.com/git-ljc/umfc

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UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models

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

공식 코드

Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization

https://github.com/gustavovargashakim/ncttt

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NC-TTT: A Noise Contrastive Approach for Test-Time Training

https://github.com/gustavovargashakim/tttflow

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TTTFlow: Unsupervised Test-Time Training with Normalizing Flow

https://github.com/hamidreza-dastmalchi/3dd-tta

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Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models

https://github.com/hee-suk-yoon/c-tpt

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C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion

https://github.com/hf618/cosmic

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COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation

https://github.com/hitsz-tmg/icl-state-vector

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In-Context Learning State Vector with Inner and Momentum Optimization

https://github.com/honghanh2104/t2a-think-twice-before-adaptation

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Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation

https://github.com/hq-deng/AnoVL

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Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

https://github.com/hthieu166/petta

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Persistent Test-time Adaptation in Recurring Testing Scenarios

https://github.com/hyeonwoocho7/cng-sfda

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CNG-SFDA:Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation

https://github.com/hygenie1228/cycleadapt_release

공식 코드

Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction

https://github.com/iccv2595/svdp

공식 코드

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

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