Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

Accurate and timely monitoring of forest canopy height is critical for assessing forest
dynamics, biodiversity, carbon sequestration as well as forest degradation and …

Hazard detection is fundamental for a safe lunar landing. State-of-the-art autonomous lunar
hazard detection relies on 2D image-based and 3D Lidar systems. The lunar south pole is …

Accurate and timely monitoring of forest canopy heights is critical for assessing forest
dynamics, biodiversity, carbon sequestration as well as forest degradation and …

Recent advances in single-cell sequencing assays for the transposase-accessibility
chromatin (scATAC-seq) technique have provided cell-specific chromatin accessibility …

Under the strict carbon emission quota policy in China, the urban carbon price directly
affects the operation of enterprises, as well as forest carbon sequestration. As a result …

In this paper, we want to present a method-based deep learning for object identification in
astronomical images of the cislunar space. Specifically, we explore the application of …

Autonomous pollination robots have been widely discussed in recent years. However, the
accurate estimation of flower poses in complex agricultural environments remains a …

Image Captioning is a field that lies at the intersection of Computer Vision (CV) and Natural
Language Processing (NLP). It concerns the automatic generation of a brief textual …

The diagnosis of disease faces fundamental limitations due to the uncertainty surrounding
the incremental benefits of tissue sampling and biopsy. In response to this critical challenge …