注意力机制因其优秀的效果与即插即用的便利性, 在深度学习任务中得到了越来越广泛的应用.
主要着眼于卷积神经网络, 对卷积网络注意力机制发展过程中的各种主流方法进行介绍 …

Visible-infrared person re-identification (VI-ReID) focuses on matching the pedestrian
images of the same identity captured by different modality cameras. The part-based methods …

Bolt defect inspection is an important work in transmission line inspection. Due to the small
size of bolts in the transmission line inspection images, existing algorithms are difficult to …

Occluded person re-identification (re-id) aims to match occluded person images to holistic
ones. Most existing works focus on matching collective-visible body parts by discarding the …

Embedding data in hyperbolic spaces has proven beneficial for many advanced machine
learning applications such as image classification and word embeddings. However, working …

The health status of the retinal blood vessels is a significant reference for rapid and non-
invasive diagnosis of various ophthalmological, diabetic, and cardio-cerebrovascular …

Restoring high-quality images from degraded hazy observations is a fundamental and
essential task in the field of computer vision. While deep models have achieved significant …

Scene text image super-resolution (STISR) aims to simultaneously increase the resolution
and legibility of the text images, and the resulting images will significantly affect the …

The cross-domain semantic segmentation in urban scenes is challenging due to the gap
between the source and the target domains. Although the existing methods achieve …

Object detection in three-dimensional (3D) space attracts much interest from academia and
industry since it is an essential task in AI-driven applications such as robotics, autonomous …