Titlebook: Schalt- und Ausgleichsvorgänge in elektrischen Netzen; Gerd Balzer,Claus Neumann Book 2016 Springer-Verlag Berlin Heidelberg 2016 Ein- und

愤世嫉俗者

畸形

Gerd Balzer,Claus Neumanne classification/detection performance regardless of how deep nets are because most objects in image datasets are upright and have a suitable size. Existing methods often implicitly employ the data augmentation strategy to accomplish a better recognition performance. The problem with the data augmen

MILL

Gerd Balzer,Claus Neumanne classification/detection performance regardless of how deep nets are because most objects in image datasets are upright and have a suitable size. Existing methods often implicitly employ the data augmentation strategy to accomplish a better recognition performance. The problem with the data augmen

Intuitive

外表读作

Gerd Balzer,Claus Neumannowever, previous image harmonization methods overlook the fact that in a real image, the appearance (e.g., illumination, color temperature, saturation, hue, and texture) of different regions can vary significantly depending on content and position. For each foreground region, the background regions

机密

Gerd Balzer,Claus Neumanne changes while flying lead to the scale of the object changes dramatically. In addition, drones flying quickly cause motion blur on the densely tiny objects. In order to address the two issues mention above, we propose Tiny-YOLOv7. In order to detect multi-scale objects, we replace the original pre

Entropion

Epithelium

pessimism

debble