For learning-based sound event localization and detection (SELD) methods...
Segmentation of the infected areas of the lung is essential for quantify...
Self-training is an important technique for solving semi-supervised lear...
Automatically extracting roads from satellite imagery is a fundamental y...
Weather forecasting is one of the cornerstones of meteorological work. I...
A long-standing challenge for search and conversational assistants is qu...
How can we extend a pre-trained model to many language understanding tas...
Performance of trimap-free image matting methods is limited when trying ...
Sound event localization and detection (SELD) is a joint task of sound e...
Polyphonic sound event localization and detection (SELD) aims at detecti...
How to learn highly compact yet effective sentence representation?
Pre-t...
Traditional public blockchain systems typically had very limited transac...
Multi-scale representations are crucial for semantic segmentation. The
c...
Neural sequence labeling is an important technique employed for many Nat...
Recently, context reasoning using image regions beyond local convolution...
Ship detection using high-resolution remote sensing images is an importa...
Key for solving fine-grained image categorization is finding discriminat...
Human parsing is an essential branch of semantic segmentation, which is ...
Many sound source localization (SSL) algorithms based on circular microp...
Learning representations for feature interactions to model user behavior...
To detect large-variance code clones (i.e. clones with relatively more
d...
Recent deep learning models have moved beyond low-dimensional regular gr...
Deep learning emerges as an important new resource-intensive workload an...