Semantic segmentation is an important task for numerous applications but it is still quite
challenging to achieve advanced performance with limited computational costs. In this …

Precise and rapid delineation of sharp boundaries and robust semantics is essential for
numerous downstream robotic tasks, such as robot gras** and manipulation, real-time …

This study evaluates land cover classification accuracy through adjustments to the deep
learning model (DLM) training process, including variations in loss function, the learning rate …

Accurate visual detection of transparent and reflective objects remains a challenging issue
for mobile manipulators. For the most common depth cameras and LiDAR sensors, the …

卷积神经网络(CNN) 与视觉Transformer 是目前图像处理领域中两大重要的深度学**模型,
两者经过多年来不断的研究与进步, 已在该领域取得了非凡的成就. **些年来, CNN …

Recently, self-supervised monocular depth estimation has attracted widespread attention.
This method does not rely on real depth labels but only requires the use of an RGB camera …