IEEE

Cross-Domain Coupling Network With Lightweight Fully Featured Mapping and Loop Aggregation for Semantic Segmentation of High-Resolution Remote Sensing Images

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 ...
IEEE

Semantic Change Detection of Bitemporal Remote Sensing Images Using Frequency Feature Enhancement

Abstract: Deep learning is a powerful technique for semantic change detection (SCD) of bitemporal remote sensing images. In this work, we propose to improve SCD accuracy using deep learning with ...
IEEE

Aggregated-Refined Feature Pyramid Network for Small Vehicle Target Detection in Monostatic/Bistatic SAR Images

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, ...
YouTube on MSN

ChatGPT releases insane new image features! RIP Photoshop?

ChatGPT just flipped the script on AI image generation—and this update is no joke. It is going to create some serious ...
IEEE

FCMA-Det: Low-Light Image Object Detection Based on Feature Complementarity and Multicontent Aggregation

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 ...
IEEE

Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection

Abstract: The consumption of image data by machines is rapidly increasing due to the growing adoption of image recognition technologies. This trend has accelerated research in image compression ...
IEEE

MFENet: A Multi-Feature Extraction Network for Enhanced Emotion Detection Using EEG and STFT

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 ...
IEEE

Lightweight Multiscale Feature Fusion and Multireceptive Field Feature Enhancement for Small Object Detection in the Aerial Images

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 ...
IEEE

Gram–Schmidt Methods for Unsupervised Feature Extraction and Selection

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 Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

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) ...
IEEE

Homogeneous and Heterogeneous Feature Learning Based on Large Models for Unsupervised Text-to-Image Person Re-Identification

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 ...
IEEE

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm

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 ...