Search Results for author:
Found 5 papers, 0 papers with code
Mathematical Analysis on Out-of-Sample Extensions
An out-of-sample extension method provides DR of $\mathbf{Z}$ using an extension of the existent embedding $\Phi$, instead of re-computing the DR embedding for the whole set $X$.
Random VLAD based Deep Hashing for Efficient Image Retrieval
In addition, the proposed random VLAD layer leads to satisfactory accuracy with low complexity, thus shows promising potentials as an alternative to NetVLAD.
Applying Wav2vec2.0 to Speech Recognition in Various Low-resource Languages
To verify its universality over languages, we apply pre-trained models to solve low-resource speech recognition tasks in various spoken languages.
Image deblurring based on lightweight multi-information fusion network
In the encoding stage, the image feature is reduced to various smallscale spaces for multi-scale information extraction and fusion without a large amount of information loss.
Multi-scale frequency separation network for image deblurring
MSFS-Net introduces the frequency separation module (FSM) into an encoder-decoder network architecture to capture the low- and high-frequency information of image at multiple scales.
