In recent years, object detection has shown impressive results using supervised deep learning,
but it remains challenging in a cross-domain environment. The variations of illumination, …

The state-of-the-art semi-supervised learning models are consistency-based which learn
about unlabeled images by maximizing the similarity between different augmentations of an …

Cross view feature fusion is the key to address the occlusion problem in human pose
estimation. The current fusion methods need to train a separate model for every pair of cameras …

Pests have caused significant losses to agriculture, greatly increasing the detection of pests
in the planting process and the cost of pest management in the early stages. At this time, …

High-definition mapping of 3D lane lines has been widely needed for the highway documentation
and intelligent navigation of autonomous systems. A mobile mapping system (MMS) …

Efficient data collection and sharing play a crucial role in power infrastructure construction.
However, in an outdoor remote area, the data collection efficiency is reduced because of the …

Target detection algorithms can greatly improve the efficiency of tomato leaf disease detection
and play an important technical role in intelligent tomato cultivation. However, there are …

Although good performance has been recently achieved in point cloud semantic segmentation
based on deep learning, it has not been promoted due to differences in actual scenes …

Recent developments in high-throughput RNA sequencing (RNA-seq) technology have led
to a dramatic impact on our understanding of the structure and expression profiles of the …

The details and shape information of the target are effectively highlighted in the polarized
image, which is more conducive to target detection. At present, the influence of different …