Test-time augmentation with synthetic data addresses distribution shifts in spectral imaging
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-024-03085-3
Abstract: Surgical scene segmentation is crucial for providing context-aware surgical assistance. Recent studies highlight the significant advantages of hyperspectral imaging (HSI) over traditional RGB data in enhancing segmentation performance. Nevertheless, the current hyperspectral imaging (HSI) datasets… read more here.
Keywords: shifts spectral; synthetic data; test time; spectral imaging ... See more keywords
Test-time augmentation for deep learning-based cell segmentation on microscopy images
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-61808-3
Abstract: Recent advancements in deep learning have revolutionized the way microscopy images of cells are processed. Deep learning network architectures have a large number of parameters, thus, in order to reach high accuracy, they require a… read more here.
Keywords: microscopy; segmentation; deep learning; microscopy images ... See more keywords
O050 Utility of ramp test time in patients undergoing assessment for renal transplantation
Sign Up to like & getrecommendations! Published in 2023 at "British Journal of Surgery"
DOI: 10.1093/bjs/znad101.050
Abstract: Prior to renal transplant listing, cardiovascular screening is performed to stratify the risk of cardiovascular disease (CVD). During pre-assessment in our centre, patients undergo a ramp test (a timed assessment to walk 130m), which is… read more here.
Keywords: assessment; test; transplantation; test time ... See more keywords
Thermal Ablation of High-Grade Premalignant Disease of the Cervix-Standing the Test of Time: A Retrospective Study.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of lower genital tract disease"
DOI: 10.1097/lgt.0000000000000638
Abstract: OBJECTIVE Analyze long-term (20 years) cytology and histology outcomes after treatment of high-grade cervical intraepithelial neoplasia (HGCIN) with thermal ablation (TA). METHODS All women having TA for HGCIN between January 1996 and December 1998 (36… read more here.
Keywords: high grade; test time; cytology; ablation ... See more keywords
Continual Test-Time Adaptation for Robust Remote Photoplethysmography Estimation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3554508
Abstract: Remote photoplethysmography (rPPG) estimation has made considerable progress by leveraging deep learning, yet its performance remains highly susceptible to the domain shifts caused by lighting, skin tone and movement, particularly during inference. Moreover, continuous adaptation… read more here.
Keywords: adaptation; remote photoplethysmography; time adaptation; estimation ... See more keywords
Customized Spherical Near-Field Test Time Reduction for Wireless Base Station Antennas
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2018.2885009
Abstract: Effective spherical near-field (SNF) test time reduction approaches are presented for wireless base station antennas that have widely differing beamwidths in the azimuth and elevation planes. The geometry of these antennas allows for the optimization… read more here.
Keywords: near field; test time; time reduction; spherical near ... See more keywords
TTAPose: Test-Time Adaptation for Unseen Object Pose Estimation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3564218
Abstract: Recent advances in the field of 6D pose estimation of unseen objects not present during training are promising, however, the performance gap between these general methods and object-specific methods remains significant. This letter introduces an… read more here.
Keywords: unseen object; time; time adaptation; pose estimation ... See more keywords
Reliable Test Architecture With Test Cost Reduction for Systolic-Based DNN Accelerators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3108415
Abstract: Deep Neural Network (DNN) accelerators are now ubiquitous. Extensive research is being directed at low power DNN accelerators for battery operated devices at the expense of a little drop in accuracy. These DNN accelerators have… read more here.
Keywords: methodology; dnn accelerators; test; power ... See more keywords
Test-Time Adaptation for Real-World Video Adverse Weather Restoration With Meta Batch Normalization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3526998
Abstract: Adverse weather conditions like rain, fog snow reduce visibility and degrade image quality, challenging the reliability of outdoor vision systems. Previous research mainly focuses on network models tailored to specific adverse weather conditions, limiting their… read more here.
Keywords: video; weather conditions; weather; batch normalization ... See more keywords
DP-TTA: Test-Time Adaptation for Transient Electromagnetic Signal Denoising via Dictionary-Driven Prior Regularization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3620531
Abstract: The transient electromagnetic (TEM) method is widely used in various geophysical applications, providing valuable insights into subsurface properties. However, time-domain TEM signals are often submerged in various types of noise. While recent deep learning-based denoising… read more here.
Keywords: driven prior; dictionary driven; prior regularization; test time ... See more keywords
Toward Efficient Test Time Adaptation With Hierarchical Distribution Alignment
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2025.3622340
Abstract: A model trained in a source domain often experiences a decline in effectiveness when deployed in a different target domain, primarily due to the discrepancies between the source and target domain characteristics. Test time adaptation… read more here.
Keywords: time adaptation; test time; distribution; domain ... See more keywords