Self-training allows a network to learn from the predictions of a more complicated model,
thus often requires well-trained teacher models and mixture of teacher-student data while …

Vibrations are a common issue in the machining and metal-cutting sector, in which the
spindle vibration is primarily responsible for the poor surface quality of workpieces. The …

With the ability to locate subtle trace objects in the large-scale region, coherent change
detection (CCD) has been vital research for a synthetic aperture radar (SAR) system …

Knowledge distillation, a well-known model compression technique, is an active research
area in both computer vision and remote sensing communities. In this paper, we evaluate in …

Multi-task partially annotated data where each data point is annotated for only a single task
are potentially helpful for data scarcity if a network can leverage the inter-task relationship. In …

Partial multi-task learning where training examples are annotated for one of the target tasks
is a promising idea in remote sensing as it allows combining datasets annotated for different …

Rivers serve as vital water sources, maintain ecological equilibrium, and enhance
landscapes. However, the looming issue of floating debris stemming from improper waste …