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Found 7 papers, 4 papers with code
AD-YOLO: You Look ONly Once in Training Multiple Sound Event Localization and Detection
Hence, the format enables the model to handle the polyphony problem, regardless of the number of sound overlaps.
TriAAN-VC: Triple Adaptive Attention Normalization for Any-to-Any Voice Conversion
The existing methods do not simultaneously satisfy the above two aspects of VC, and their conversion outputs suffer from a trade-off problem between maintaining source contents and target characteristics.
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation
Different from the existing studies, this study aims to reduce the epistemic uncertainty measured by the entropy for a precise semantic segmentation.
Multi-View Attention Transfer for Efficient Speech Enhancement
In this study, we propose multi-view attention transfer (MV-AT), a feature-based distillation, to obtain efficient speech enhancement models in the time domain.
MANNER: Multi-view Attention Network for Noise Erasure
In the field of speech enhancement, time domain methods have difficulties in achieving both high performance and efficiency.
Ranked #6 on
Speech Enhancement
on VoiceBank + DEMAND
TRACER: Extreme Attention Guided Salient Object Tracing Network
Existing studies on salient object detection (SOD) focus on extracting distinct objects with edge information and aggregating multi-level features to improve SOD performance.
Ranked #1 on
RGB Salient Object Detection
on DUT-OMRON
Similarity-Based Unsupervised Spelling Correction Using BioWordVec: Development and Usability Study of Bacterial Culture and Antimicrobial Susceptibility Reports
Conclusions: This tool corrected spelling errors effectively in the absence of a dictionary based on bacterial identification words in bacterial culture and antimicrobial susceptibility reports.
