Our new work High-Resolution Representations for Labeling Pixels and Regions is available at HRNet. Our HRNet has been applied to a wide range of vision tasks, such as image classification, objection ...
Beans are a legume that is widely grown and consumed globally, being the staple food for humans in developing countries. Nitrogen (N) is the most limiting nutrient for yield and foliar analysis is ...
This work introduces an approach to continuous sleep monitoring using low-power multimodal mechanoacoustic (LMA) sensors. Unlike traditional sleep diagnostics and existing wearable technologies, LMA ...
Extracting beat-by-beat information from electrocardiograms (ECGs) is crucial for various downstream diagnostic tasks that rely on ECG-based measurements. However, these measurements can be expensive ...
This paper presents a mini-review of recent works in Salient Object Detection (SOD). First, We introduce SOD and its application in image processing tasks and applications. Following this, we discuss ...
The electrocardiogram (ECG) is a widespread diagnostic tool in healthcare and supports the diagnosis of cardiovascular disorders. Deep learning methods are a successful and popular technique to detect ...
This paper provides a new perspective for detecting pedestrians where detection is formulated as Center and Scale Prediction (CSP), the pipeline is illustrated in the following. For more details, ...
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