6 citations · 19 across the 6 of their papers we have counts for
4 papers · 1 filter
Object Detection based on OcSaFPN in Aerial Images with Noise
Chengyuan Li, Jun Liu, Hailong Hong +5
Taking the deep learning-based algorithms into account has become a crucial way to boost object detection performance in aerial images. While various neural network representations…
U2-ONet: A Two-level Nested Octave U-structure with Multiscale Attention Mechanism for Moving Instances Segmentation
Chenjie Wang, Chengyuan Li, Bin Luo
Most scenes in practical applications are dynamic scenes containing moving objects, so segmenting accurately moving objects is crucial for many computer vision applications. In ord…
Can Synthetic Data Improve Object Detection Results for Remote Sensing Images?
Weixing Liu, Jun Liu, Bin Luo
Deep learning approaches require enough training samples to perform well, but it is a challenge to collect enough real training data and label them manually. In this letter, we pro…
DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
Chenjie Wang, Bin Luo, Yun Zhang +6
Most SLAM algorithms are based on the assumption that the scene is static. However, in practice, most scenes are dynamic which usually contains moving objects, these methods are no…