Re-identifying the figures in portrait Thangka images is of great significance to the protection
and dissemination of Thangka. Existing portrait Thangka image retrieval methods are limited …

Crime scene investigation (CSI) image retrieval is used to search for crime evidences and is
critical in helping in solving various crimes. In recent years, using Convolutional Neural …

This paper focuses on the vessel image retrieval from massive data, whose goal is to identify
relevant records quickly and accurately when new images are given. Noteworthy, it is …

The impact crater detection offers a great scientific contribution in analyzing the geological
processes, morphologies and physical properties of the celestial bodies and plays a crucial …

The effectiveness of the convolutional neural network (CNN) has already been
demonstrated in many challenging tasks of computer vision, such as image retrieval, action …

The discriminative ability of image features plays a decisive role in content-based remote
sensing image retrieval (CBRSIR). However, the widely-used convolutional neural networks …

The increasing availability of digital archaeological image collections has requested the
need for advanced techniques in efficiently retrieving and analyzing artefacts. This research …

Image retrieve model for whales and dolphins, based on deep learning algorithms, analyzes
features such as body shape, size, color, and tails to accurately classify images of different …

Bird watching is a popular hobby among nature enthusiasts that has been enjoyed for
centuries. With the advancement of technology, it is now possible to use deep learning …

China's Chang'e lunar exploration project obtains digital orthophoto image (DOM) and
digital elevation model (DEM) data covering the whole Moon, which are critical to lunar …