Brain-inspired spiking neural networks (SNNs) are becoming a promising energy-efficient
alternative to traditional artificial neural networks (ANNs). However, the performance gap …

Speech emotion recognition (SER) is an active research field of digital signal processing
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …

Waste recycling is a critical issue for environment pollution management while garbage
classification determines the recycling efficiency. In order to reduce labor costs and increase …

Event-based visual, a new visual paradigm with bio-inspired dynamic perception and μ s
level temporal resolution, has prominent advantages in many specific visual scenarios and …

Accurate surface electromyography decoding of hand gestures is pivotal for advancing
human–computer interaction applications. Recent developments in end-to-end deep neural …

The problem of tiny and low-contrast surface defect detection is a nontrivial one. To solve the
problems, this article proposes an edge and multi-scale reverse attention network (EMRA …

In recent years, with the development of deep learning, semantic segmentation for remote
sensing images has gradually become a hot issue in computer vision. However …

We study the problem of object detection in remote sensing images. As a simple but effective
feature extractor, Feature Pyramid Network (FPN) has been widely used in several generic …

Hyperspectral–multispectral image (HSI-MSI) fusion relies on a robust degradation model
and data prior, where the former describes the degeneration of HSI in the spectral and …

Improving the performance of gait recognition under multiple camera views (ie, cross-view
gait recognition) and various conditions is urgent. From observation, we find that adjacent …