Search Results for author:
Found 3 papers, 1 papers with code
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
MuRAL identifies informative regions of various scales to reduce annotation costs for well-learned objects and improve training performance.
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation
In the field of domain adaptation, a trade-off exists between the model performance and the number of target domain annotations.
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion
Voice conversion (VC) is an effective approach to electrolaryngeal (EL) speech enhancement, a task that aims to improve the quality of the artificial voice from an electrolarynx device.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
