To promote better performance-bandwidth trade-off for multi-agent percep...
Instance segmentation is of great importance for many biological
applica...
Label noise is frequently observed in real-world large-scale datasets. T...
Noisy labels can impair the performance of deep neural networks. To tack...
To collect large scale annotated data, it is inevitable to introduce lab...
The accurate reconstruction of under-sampled magnetic resonance imaging ...
The 3D volumetric shape of the heart's left ventricle (LV) myocardium (M...
Oriented object detection in aerial images is a challenging task as the
...
Nuclei segmentation is a fundamental task in histopathology image analys...
The ability to reliably perceive the environmental states, particularly ...
Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises ...
We present a new permutation-invariant network for 3D point cloud proces...
Instance segmentation of biological images is essential for studying obj...
This paper proposes a new deep neural network for object detection. The
...
Most existing methods handle cell instance segmentation problems directl...
We consider an MRI reconstruction problem with input of k-space data at ...