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Found 5 papers, 3 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.
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
