In contrast to existing complex methodologies commonly employed for distilling knowledge
from a teacher to a student, this paper showcases the efficacy of a simple yet powerful …

Pomelo counting recognition in complex environments faces many difficulties, mainly
including changes in illumination, occlusion, and complex backgrounds. These factors …

Recently, it has been revealed that small semantic segmentation (SS) models exhibit a
tendency to make errors in maintaining boundary region completeness and preserving …

Knowledge distillation is a widely adopted model compression technique that has been
successfully applied to object detection. In feature distillation, it is common practice for the …

Dams in their natural environment will gradually develop cracks and other forms of damage.
If not detected and repaired in time, the structural strength of the dam may be reduced, and it …

The existing YOLOv8 framework has achieved great success in the field of object detection.
However, in some specific recognition tasks, for example, counting the number of fruit in a …

In this work, we explore the efficacy of knowledge distillation in the field of computer vision
classification tasks. We focus on the distillation of a large foundation teacher model to a less …