Object detection is a fundamental task in remote sensing image analysis and scene
understanding. Previous remote sensing object detectors are typically based on …

The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …

Recently, deep learning-based methods have reached an excellent performance on License
Plate (LP) detection and recognition tasks. However, it is still challenging to build a robust …

Video surveillance and activity monitoring are the practical real-time applications of Human
Action Recognition (HAR). A fusion of several Convolutional Neural Network (CNN) …

With the rapid development of deep learning techniques, new innovative license plate
recognition systems have gained considerable attention from researchers all over the world …

In the past few decades, license plate detection and recognition (LPDR) systems have made
great strides relying on Convolutional Neural Networks (CNN). However, these methods are …

Photometric stereo recovers the surface normals of an object from images with varying
shading cues. Conventional photometric stereo methods attempt to use handcrafted …

Automatic ship license plate recognition (SLPR) for ship identification is of great significance
to waterway shipping management. But few attention has been paid to SLPR in the past. In …

Infrared vehicle detection based on aerial images has significant applications in military and
civilian fields for the perception ability under low-light and foggy conditions. However, it …

Two obstacles, the scarcity of annotated samples and the difficulty in preserving multi-scale
hierarchical representations, hinder the advancement of vision Transformer-based aerial …