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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/jeya-maria-jose/on-the-fly-adaptation
공식 코드On-the-Fly Test-time Adaptation for Medical Image Segmentation
https://github.com/jiachens/ModelNet40-C
공식 코드Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
https://github.com/jo-wang/dpo
공식 코드DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection
https://github.com/jo-wang/otta_vit_survey
공식 코드https://github.com/jo-wang/tca
공식 코드Is Less More? Exploring Token Condensation as Training-free Adaptation for CLIP
https://github.com/joshuaomolegan/tta-for-3d-fetal-subcortical-segmentation
공식 코드Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound
https://github.com/jotabravo/spacecraft-tta
공식 코드Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View Synthesis
https://github.com/junia3/LayerwiseTTA
공식 코드Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation
https://github.com/jyLin8100/GenSAM
공식 코드https://github.com/keikeiqi/mgtta
공식 코드Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
https://github.com/kimanki/tafas
공식 코드Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
https://github.com/kiwi12138/realistictta
공식 코드Unraveling Batch Normalization for Realistic Test-Time Adaptation
https://github.com/kojima-takeshi188/cfa
공식 코드https://github.com/koncle/domainadaptor
공식 코드https://github.com/kowshikthopalli/cattan
공식 코드https://github.com/kowshikthopalli/sista
공식 코드Single-Shot Domain Adaptation via Target-Aware Generative Augmentation
https://github.com/kzkadc/regression-tta
공식 코드https://github.com/kzkadc/reid-tta
공식 코드Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift
https://github.com/kzkadc/uninfo
공식 코드https://github.com/leaplabthu/unitta
공식 코드UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation
https://github.com/liangchen527/itta
공식 코드https://github.com/lins-lab/ttab
공식 코드https://github.com/locuslab/tta_conjugate
공식 코드https://github.com/mahuanaaa/intta
공식 코드Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
https://github.com/manogna-s/pSTarC
공식 코드pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
https://github.com/mariodoebler/test-time-adaptation
공식 코드Introducing Intermediate Domains for Effective Self-Training during Test-Time
https://github.com/martinwimpff/eeg-continual
공식 코드https://github.com/martinwimpff/eeg-otta
공식 코드Calibration-free online test-time adaptation for electroencephalography motor imagery decoding
https://github.com/mathilde-b/tta
공식 코드Test-Time Adaptation with Shape Moments for Image Segmentation
https://github.com/mattiasegu/darth
공식 코드DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
https://github.com/maxzanella/stata
공식 코드https://github.com/maytusp/tta-nav
공식 코드TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions
https://github.com/mazurowski-lab/single-image-test-time-adaptation
공식 코드https://github.com/med-air/dltta
공식 코드DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
https://github.com/med-air/ttadc
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.