Abstract: To fully leverage contextual information for the precise segmentation of objects in remote sensing images, while addressing the challenges associated with substantial object scale variations ...
Abstract: Spaceborne and airborne synthetic aperture radar (SAR) systems have now reached a highly mature stage of development, yet they still encounter challenges in real-time response speed, ...
ChatGPT just flipped the script on AI image generation—and this update is no joke. It is going to create some serious ...
Abstract: Aiming at the problems of limited feature expression and underutilization of contextual information in the object detection task in low-light environments, a low-light object detection ...
Abstract: Developing computationally efficient models for EEG-based emotion recognition is essential for enabling scalable and responsive brain-computer interface (BCI) systems. However, the inherent ...
Abstract: Small uncrewed autonmous vehicles (UAVs) equipped with deep learning models are increasingly used to detect small objects both on the ground and in aerial environments. Since small objects ...
Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
Abstract: Text-to-image person re-identification (TIReID) aims to identify and retrieve target pedestrians according to given textual queries. Driven by enormous annotated data, existing supervised ...
Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
Abstract: Low-dose computed tomography (LDCT) is extensively applied in clinical diagnosis, yet it suffers from high noise and low spatial resolution. A variety of methods have been developed to ...
Abstract: In remote sensing image building extraction, image regions with similar textures or colors often cause false positives and false negatives in building-detection. Global features can help the ...
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