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Found 5 papers, 2 papers with code
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation
The computer-aided diagnosis (CAD) of skin diseases relies heavily on automated skin lesion segmentation, albeit presenting considerable challenges due to lesion diversity in shape, size, color, and texture, as well as potential blurry boundaries with surrounding tissues.
Introducing One Sided Margin Loss for Solving Classification Problems in Deep Networks
OSM has consistently shown better classification accuracies over cross-entropy and hinge losses for small to large neural networks.
Learning Enhancement of CNNs via Separation Index Maximizing at the First Convolutional Layer
In this paper, a straightforward enhancement learning algorithm based on Separation Index (SI) concept is proposed for Convolutional Neural Networks (CNNs).
Soccer Event Detection Using Deep Learning
In this paper, we propose a deep learning approach to detect events in a soccer match emphasizing the distinction between images of red and yellow cards and the correct detection of the images of selected events from other images.
EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting
To this end, the football keyword dataset (FKD), as a new keyword spotting dataset in Persian, is collected with crowdsourcing.
Ranked #1 on
Keyword Spotting CSS
on FKD
