Transformer-based models have transformed the landscape of natural language processing
(NLP) and are increasingly applied to computer vision tasks with remarkable success. These …

Object detection is a pivotal research domain within computer vision, with applications
spanning from autonomous vehicles to medical diagnostics. This comprehensive survey …

Hunting for blocked objects is complicated in crowded scenes due to the frequent
occlusions. However, creating an effective occlusion detector remains challenging for the …

Onboard, real-time object detection in unmaned aerial vehicle remote sensing (UAV-RS)
has always been a prominent challenge due to the higher image resolution required and the …

Background Brain tumor is a grave illness causing worldwide fatalities. The current detection
methods for brain tumors are manual, invasive, and rely on histopathological analysis …

Smoking remains a significant global public health concern, leading to over 8 million deaths
annually and significantly increasing the risk of various diseases. Despite the effectiveness …

Within the recent timeframe, the detection of ships in SAR images has become a critical task
for many countries. To tackle the issue of multi-scale ship detection, this study presents …

The status lights and instruments of the distribution cabinet switch have the characteristics of
high density and ectopic imaging, which puts higher requirements on the basic feature …