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Found 4 papers, 1 papers with code
TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
Representation learning frameworks in unlabeled time series have been proposed for medical signal processing.
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
CF module extracts and fuses the multi-scale features of SR images for classification.
Histopathological Image Classification
Image Classification
+1
TC-SKNet with GridMask for Low-complexity Classification of Acoustic scene
In our experiments, the performance gain brought by GridMask is stronger than spectrum augmentation in ASCs.
Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits
This paper proposes the weighted SI-SNR loss, together with the joint learning of target speech separation and personal VAD.
