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Found 5 papers, 1 papers with code
An Image Dataset of Text Patches in Everyday Scenes
Although much research has been devoted to text detection and recognition in scanned documents, relatively little attention has been given to text detection in other types of images, such as photographs that are posted on social-media sites.
Input Fast-Forwarding for Better Deep Learning
This scheme is substantially different from "deep supervision" in which the loss layer is re-introduced to earlier layers.
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning
The third method adopts late fusion by having two convectional input branches processing each of the dual-channel spectrograms and then the outputs are merged by the last layers.
Homogenous and Heterogenous Parallel Clustering: An Overview
Recent advances in computer architecture and networking opened the opportunity for parallelizing the clustering algorithms.
Brain Stroke Segmentation Using Deep Learning Models: A Comparative Study
In this study, we selected four types of deep models that were recently proposed and evaluated their performance for stroke segmentation: a pure Transformer-based architecture (DAE-Former), two advanced CNN-based models (LKA and DLKA) with attention mechanisms in their design, an advanced hybrid model that incorporates CNNs with Transformers (FCT), and the well- known self-adaptive nnUNet framework with its configuration based on given data.
