Convolutional neural networks (CNNs) have rapidly become the state-of-the-art models for
image classification applications. They usually require large groundtruthed datasets for …

Automatic target recognition (ATR) is an important part for many computer vision
applications. Despite the extensive research which has been carried out in this area for …

As a long-standing problem, infrared small target detection is challenging due to the
dimness of targets and the complexity of background. Considering the limitation of traditional …

Infrared small target detection is challenging due to the various background and low signal-
to-clutter ratios. Considering the information deficiency faced by single spatial or temporal …

Generation of a thematic map is important for scientists and agriculture engineers in
analyzing different crops in a given field. Remote sensing data are well-accepted for image …

超大视场(U-FOV) 红外成像系统探测范围大, 不受光照限制, 但存在尺度多样,
小目标丰富的特点. 为此该文提出一种具备背景感知能力的多尺度红外行人检测方法 …

针对红外图像和可见光图像的融合目标检测问题, 提出一种基于双模态融合网络的目标检测算法
. 在同时输入红外和可见光图像对后, 利用设计的红外编码器提取红外图像空间特征信息; …

Abstract Recently, Vision Transformer (ViT) has become a relevant alternative to
convolutional neural networks (CNN) for image classification tasks. However, we believe …

Deep learning has been well studied for its application to image classification, object
detection, and other visible spectrum tasks. However, deep learning is only beginning to be …

Automatic target recognition (ATR) is a challenging task for several computer vision
applications. It requires efficient, accurate, and robust methods for target detection and target …