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Found 8 papers, 1 papers with code
Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application
Taking medicines is a fundamental aspect to cure illnesses.
Analyzing EEG Data with Machine and Deep Learning: A Benchmark
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from economics to biology.
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals
The latter conditions signal-based features in the visual domain to completely replace visual data.
SIRe-Networks: Convolutional Neural Networks Architectural Extension for Information Preservation via Skip/Residual Connections and Interlaced Auto-Encoders
Improving existing neural network architectures can involve several design choices such as manipulating the loss functions, employing a diverse learning strategy, exploiting gradient evolution at training time, optimizing the network hyper-parameters, or increasing the architecture depth.
Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image
Over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accuracy for new illnesses such as COVID-19.
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition
Estimating the 3D pose of a hand from a 2D image is a well-studied problem and a requirement for several real-life applications such as virtual reality, augmented reality, and hand gesture recognition.
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields.
Deep Temporal Analysis for Non-Acted Body Affect Recognition
In this paper, a solution for basic non-acted emotion recognition based on 3D skeleton and Deep Neural Networks (DNNs) is provided.
